{"id":"W2981672518","doi":"10.4095/215931","title":"Residual total magnetic field, 22A/10 - Grande Rivière Nord, Quebec","year":2004,"lang":"fr","type":"report","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Geography; Mathematics","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":[0.0004755952,0.0009125198,0.0005982159,0.001858259,0.002758853,0.001322066,0.001625075,0.0005291505,0.03257193],"category_scores_gemma":[0.001150562,0.0003439063,0.0004000852,0.002660374,0.000441894,0.0007782562,0.0005179452,0.0008138468,0.003549204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0186899,"about_ca_system_score_gemma":0.02073611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938785,"about_ca_topic_score_gemma":0.9965693,"domain_scores_codex":[0.9994072,0.00004058988,0.00001631501,0.0001052301,0.000270754,0.0001599116],"domain_scores_gemma":[0.9986899,0.00009888014,0.00007560696,0.00007016535,0.000922985,0.0001424368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001929488,0.0005927584,0.3441077,0.0006462086,0.0004688738,0.001311645,0.001357221,0.01216641,0.008796,0.006708363,0.4303597,0.1915558],"study_design_scores_gemma":[0.0002185457,0.0001302021,0.8210385,0.00009042212,0.00007504039,0.0001608655,0.0009956139,0.00706201,0.00382637,0.0003515136,0.16597,0.0000809238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3643774,0.002181015,0.004454483,0.0014125,0.0003083007,0.0006444181,0.4492929,0.00176264,0.1755665],"genre_scores_gemma":[0.4728929,0.001110994,0.005608343,0.0002612607,0.0000653911,0.0002429994,0.09590477,0.0003706305,0.4235427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03257193,"threshold_uncertainty_score":0.1356053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409997025234147,"score_gpt":0.2272053347791514,"score_spread":0.2031053645268099,"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."}}