{"id":"W2916474683","doi":"10.4095/286036","title":"Séries des cartes géophysiques, levé magnétique aéroporté de la région de la Baie d'Ungava, Québec, SNRC 24 L/08","year":2010,"lang":"fr","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000670277,0.0009664973,0.0007269537,0.004979779,0.001513525,0.001581817,0.001025414,0.0004513687,0.02385705],"category_scores_gemma":[0.001516241,0.0004650885,0.0005415123,0.006551709,0.0004880399,0.0007139889,0.0004613153,0.0007044486,0.003891916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01555831,"about_ca_system_score_gemma":0.02412395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890963,"about_ca_topic_score_gemma":0.9940636,"domain_scores_codex":[0.9994724,0.00003177133,0.00001880078,0.00009873627,0.0002950125,0.00008322583],"domain_scores_gemma":[0.9985743,0.0001395115,0.0001048933,0.0001480276,0.0008640278,0.0001692999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005140268,0.0002050584,0.1190402,0.0006459933,0.0003434766,0.0004334302,0.001464844,0.0146905,0.0075512,0.006206813,0.6196337,0.2292707],"study_design_scores_gemma":[0.0001017413,0.00003195254,0.5854441,0.00009374516,0.00004112934,0.0001333071,0.0006553561,0.008568658,0.003022791,0.0004545209,0.4013975,0.00005513359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1186414,0.003813522,0.008609851,0.001980795,0.0003768685,0.0005782606,0.7771421,0.00262423,0.08623306],"genre_scores_gemma":[0.2742108,0.00310246,0.03270447,0.0002591107,0.000170137,0.0007417003,0.2657578,0.0008272565,0.4222263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02385705,"threshold_uncertainty_score":0.1128839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631786661578566,"score_gpt":0.2474646368593706,"score_spread":0.221146770243585,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}