{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"1bf326ae8dc2","filters":{"venue":"Visual Geosciences"}},"results":[{"id":"W2129810778","doi":"10.1007/s10069-000-0003-2","title":"Looking at the Inside of the Earth with 3-D Wavelets: A Pair of New Glasses for Geoscientists","year":2000,"lang":"en","type":"article","venue":"Visual Geosciences","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Wavelet; Curse of dimensionality; Synthetic data; Computer science; A priori and a posteriori; Algorithm; Spectral line; Plume; Pattern recognition (psychology); Wavelet transform; Artificial intelligence; Geology; Physics; Meteorology","authors":[{"name":"Stephen Y. Bergeron","is_ca":false},{"name":"David A. Yuen","is_ca":false},{"name":"Alain Vincent","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01394552667679242,"gpt":0.2387153843418461,"spread":0.2247698576650537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004833452,0.0001023757,0.0001400558,0.00005418471,0.0003921373,0.00004334981,0.0004943874,0.00002794717,0.0008105973],"category_scores_gemma":[0.00005944215,0.00004590302,0.00007240275,0.0005575433,0.0009345285,0.0001899678,0.00002428662,0.00005947856,0.00001050398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002762243,"about_ca_system_score_gemma":0.0001690462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01118206,"about_ca_topic_score_gemma":0.001221379,"domain_scores_codex":[0.9988019,0.00005368642,0.000201589,0.0002326068,0.0004541326,0.0002561036],"domain_scores_gemma":[0.9993504,0.0001984211,0.0001455535,0.0002025576,0.00004782924,0.00005521324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001370123,0.0000518431,0.3946466,0.00004833378,0.00001778875,0.000001417516,0.001403623,0.0005479782,0.001004011,0.0001114386,0.01511418,0.5869157],"study_design_scores_gemma":[0.0006013766,0.001313468,0.4952405,0.0002288757,0.00004544418,0.00004878614,0.001104733,0.03657372,0.1247778,0.00148778,0.3382364,0.0003411034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959167,0.0002309161,0.0002373202,0.0009457157,0.0001683154,0.0002354555,0.00003941839,0.00002845763,0.002197694],"genre_scores_gemma":[0.991142,0.00003210515,0.001280903,0.0007814787,0.0000340215,0.000001273437,0.000004827162,0.000002195138,0.006721186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5865746,"threshold_uncertainty_score":0.9954026,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1972043065","doi":"10.1007/s10069-003-0009-7","title":"Data Assimilation (4D-VAR) for Shallow-Water Flow: The Case of the Chicoutimi River","year":2003,"lang":"en","type":"article","venue":"Visual Geosciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Montréal; Polytechnique Montréal; Compute Canada","funders":"","keywords":"Data assimilation; Shallow water equations; Flood myth; Applied mathematics; Meteorology; Gradient descent; Flood forecasting; Function (biology); Eulerian path; Computer science; Environmental science; Mathematical optimization; Hydrology (agriculture); Mathematics; Geology; Geography; Mathematical analysis; Geotechnical engineering","authors":[{"name":"Éric Bélanger","is_ca":true},{"name":"Alain Vincent","is_ca":true},{"name":"Alexandre Fortin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03441134091152733,"gpt":0.2886500267010105,"spread":0.2542386857894832,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036635,0.00008765781,0.00008215097,0.00001518442,0.00092812,0.00002665996,0.0005836397,0.00003105638,0.000424264],"category_scores_gemma":[0.00009685203,0.00003688669,0.00003596503,0.0001645167,0.001299755,0.000246989,0.0005324061,0.00005303501,0.00002953563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001169807,"about_ca_system_score_gemma":0.000006205558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002410201,"about_ca_topic_score_gemma":0.0008268276,"domain_scores_codex":[0.9990702,0.00007356291,0.00014223,0.0003001778,0.0001700643,0.000243785],"domain_scores_gemma":[0.9994832,0.0000768,0.00005511381,0.0003572764,0.000006140107,0.00002149325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001460849,0.001275675,0.8065076,0.0001133481,0.0003043805,0.0001010007,0.02932332,0.05565376,0.009157827,0.01431805,0.05305851,0.03004043],"study_design_scores_gemma":[0.001530753,0.0006028666,0.2581632,0.00002922226,0.000373628,0.0001282121,0.003694706,0.4887078,0.01366783,0.02888369,0.2033318,0.0008863052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911431,0.00001830833,0.002695889,0.001529831,0.0004082126,0.0003730372,0.00003232776,0.00001213838,0.00378712],"genre_scores_gemma":[0.9981519,0.000006583744,0.0006166132,0.0004792535,0.00001650419,0.00001630593,0.000005063312,0.000003059924,0.0007047064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5483444,"threshold_uncertainty_score":0.7138442,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2027412362","doi":"10.1007/s10069-002-1028-5","title":"The physical Properties of marine sediments as inferred from Wavelet Correlation Analysis","year":2002,"lang":"en","type":"article","venue":"Visual Geosciences","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Wavelet; Attenuation; Geology; Acoustics; Seismogram; Shear waves; Seismology; Synthetic seismogram; Shear (geology); Underwater; Geophysics; Computer science; Physics; Oceanography; Optics","authors":[{"name":"A. Kritski","is_ca":false},{"name":"David A. Yuen","is_ca":false},{"name":"Alain Vincent","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03565047215902967,"gpt":0.2729997865082776,"spread":0.2373493143492479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002850308,0.00009208928,0.0001497311,0.0001321298,0.0003276255,0.000156578,0.0003655617,0.00002952209,0.001360435],"category_scores_gemma":[0.0001110865,0.00005013138,0.0000643036,0.001027219,0.0004643956,0.0002335959,0.00005157624,0.00009758779,0.000261719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004493398,"about_ca_system_score_gemma":0.00002999946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01529893,"about_ca_topic_score_gemma":0.002183587,"domain_scores_codex":[0.9983661,0.000100445,0.0001875046,0.000234021,0.0008301101,0.0002818823],"domain_scores_gemma":[0.9994059,0.0002146778,0.00007834032,0.0001447904,0.00007041031,0.00008592282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005282603,0.0001643627,0.8589574,0.000008101988,0.0002150791,0.000004521267,0.00243295,0.02501392,0.002785492,0.00001681941,0.00012488,0.1102237],"study_design_scores_gemma":[0.00006995735,0.0001510239,0.1924741,0.000003008285,0.00004280683,3.601442e-7,0.0002398953,0.804922,0.001484708,0.0003865419,0.0001610956,0.00006450662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958598,0.00009183189,0.0006467815,0.0001444854,0.0001291476,0.0001049386,0.00002247919,0.00001624657,0.002984307],"genre_scores_gemma":[0.9984765,0.00005514137,0.0001467972,0.00002673036,0.00005843987,0.000001193833,0.00002826349,0.000001391484,0.00120551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7799081,"threshold_uncertainty_score":0.9995524,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2017867065","doi":"10.1007/s10069-002-1025-8","title":"The growth of point source plumes at Rayleigh numbers up to 108 and Prandtl numbers up to 1000","year":2002,"lang":"en","type":"article","venue":"Visual Geosciences","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Compute Canada","funders":"","keywords":"Prandtl number; Turbulent Prandtl number; Rayleigh number; Mechanics; Magnetic Prandtl number; Plume; Physics; Convection; Meteorology; Natural convection; Turbulence; Nusselt number; Reynolds number","authors":[{"name":"Catherine Hier Majumder","is_ca":false},{"name":"Alain Vincent","is_ca":true},{"name":"David A. Yuen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01047034217765947,"gpt":0.2380976299358726,"spread":0.2276272877582131,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004113513,0.0001771085,0.0001935199,0.00003970745,0.0008433072,0.00008465273,0.0004109654,0.00003565877,0.0006681581],"category_scores_gemma":[0.0001218869,0.0001116781,0.00005700432,0.0005834386,0.0008926306,0.0002150896,0.0005633982,0.00006433523,0.0004505886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005799486,"about_ca_system_score_gemma":0.000005970585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674234,"about_ca_topic_score_gemma":0.000910591,"domain_scores_codex":[0.9981673,0.00005103887,0.0002360543,0.0004568512,0.0006029306,0.0004858358],"domain_scores_gemma":[0.9993578,0.0001627263,0.0000736438,0.0001597816,0.00001393366,0.0002320836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001666072,0.0002180991,0.6857649,0.00004125785,0.00005847571,0.00000937492,0.08668138,0.000385218,0.01780659,0.0006659345,0.1493361,0.058866],"study_design_scores_gemma":[0.00167856,0.002277017,0.4635722,0.0001507998,0.00007155466,0.00005176171,0.03664248,0.002559435,0.03585666,0.000613806,0.4547834,0.001742343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871027,0.0001091352,0.00006369479,0.003100296,0.0003821843,0.0002374644,0.000005872448,0.00003063753,0.008967997],"genre_scores_gemma":[0.975212,0.00008671463,0.0001268917,0.0005937441,0.00005117377,0.00001790106,2.755703e-7,0.000007931852,0.02390332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3054472,"threshold_uncertainty_score":0.7315863,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}