{"id":"W2909872013","doi":"10.4095/248213","title":"Relevance of aeromagnetic data to revision of geological maps, Purcell Anticlinorium","year":2009,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Relevance (law); Geology; Aeromagnetic survey; Paleontology; Political science","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":[0.006738195,0.0002395943,0.000213441,0.006288591,0.001662547,0.004270742,0.00214002,0.0004104432,0.001884054],"category_scores_gemma":[0.0416974,0.0002266743,0.0001096831,0.005144775,0.001590054,0.00164672,0.001265984,0.001392645,0.000356413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008247198,"about_ca_system_score_gemma":0.01055188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3108456,"about_ca_topic_score_gemma":0.4662026,"domain_scores_codex":[0.9965361,0.0009662078,0.0006000723,0.0003164962,0.001413683,0.0001674122],"domain_scores_gemma":[0.9525185,0.008433362,0.003296072,0.006334735,0.02793044,0.00148675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002553484,0.00008840702,0.1506381,0.001062036,0.00007089052,0.002634658,0.01456161,0.004904198,0.005709051,0.01983783,0.101068,0.6991699],"study_design_scores_gemma":[0.00001458275,0.00005118881,0.2253947,0.0006552918,0.00003941353,0.0005206312,0.008400323,0.002879441,0.004009402,0.003381034,0.7545763,0.00007770232],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6408257,0.01825769,0.03888366,0.08224908,0.006916126,0.001368479,0.02679931,0.002552383,0.1821476],"genre_scores_gemma":[0.8769285,0.006119991,0.07938263,0.003516688,0.0009399315,0.000285867,0.008950885,0.0005681236,0.02330743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3108456,"threshold_uncertainty_score":0.6180726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0697293251877353,"score_gpt":0.3021001487468987,"score_spread":0.2323708235591634,"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."}}