{"id":"W2981481088","doi":"10.4095/212924","title":"Aeromagnetic total field map, Lac Barvilier (34O/7), Québec","year":2001,"lang":"fr","type":"report","venue":"","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Field (mathematics); Geology; Geodesy; 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":[0.0002806925,0.0006133483,0.0003701206,0.003352748,0.002601044,0.0008548183,0.0008576678,0.0003528249,0.02329419],"category_scores_gemma":[0.0005491609,0.0002693338,0.0002198628,0.004009895,0.0004314986,0.0003631399,0.0003636395,0.0006159584,0.003440969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01321458,"about_ca_system_score_gemma":0.01575173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890294,"about_ca_topic_score_gemma":0.9937589,"domain_scores_codex":[0.9997129,0.00002253187,0.000009089107,0.00005634899,0.0001237343,0.00007549012],"domain_scores_gemma":[0.9990964,0.00003416446,0.00004154816,0.00002996165,0.0006819982,0.0001158971],"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":[0.001228699,0.0004839207,0.2553732,0.0007045895,0.0002917359,0.001655025,0.001386319,0.006726912,0.01336627,0.005395859,0.466977,0.2464105],"study_design_scores_gemma":[0.00010054,0.0000559712,0.7871564,0.00008902228,0.00004073872,0.0001915262,0.0005413158,0.002398744,0.001598499,0.0002577402,0.2075336,0.00003588534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3148679,0.003422839,0.005507436,0.002122835,0.0003062337,0.0009115126,0.3867132,0.001664724,0.2844833],"genre_scores_gemma":[0.4572041,0.001814748,0.01159463,0.0003814085,0.0001023245,0.0003664061,0.1182662,0.0003173274,0.4099528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02329419,"threshold_uncertainty_score":0.0958789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180041392680916,"score_gpt":0.2338760349876298,"score_spread":0.2220756210608206,"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."}}