{"id":"W2981439643","doi":"10.4095/213895","title":"Residual magnetic total field and electromagnetic anomalies, Pamour, Ontario","year":2002,"lang":"en","type":"report","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Geology; Quantum electrodynamics; Geophysics; Geodesy; Physics; 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":[0.0006274775,0.000555093,0.0003681728,0.001592645,0.003653932,0.001300898,0.001159518,0.0003610431,0.01590077],"category_scores_gemma":[0.002047567,0.0004657049,0.0003033425,0.005084141,0.0005414516,0.0006069934,0.0008481357,0.0004533946,0.003385747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01319238,"about_ca_system_score_gemma":0.03751143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940549,"about_ca_topic_score_gemma":0.9978747,"domain_scores_codex":[0.9990982,0.00003839067,0.0000326572,0.0001322036,0.0005563372,0.0001422649],"domain_scores_gemma":[0.9979011,0.0001386492,0.0001340403,0.0001565513,0.001463934,0.0002056907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009785562,0.0001794157,0.4690401,0.0007001407,0.0001602365,0.0008867868,0.005030752,0.005678416,0.005359604,0.007664038,0.3078192,0.1965028],"study_design_scores_gemma":[0.00007470232,0.00005233417,0.8012037,0.00007482374,0.00006113911,0.000154858,0.002168948,0.002619704,0.003144547,0.0004623928,0.1899371,0.00004579999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.341141,0.003213093,0.005926805,0.002185769,0.0002117887,0.0005730361,0.4472615,0.001160576,0.1983264],"genre_scores_gemma":[0.3454689,0.002790094,0.007803859,0.0001575188,0.00006975592,0.0002537849,0.07880338,0.000470189,0.5641825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01590077,"threshold_uncertainty_score":0.09571791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098615766450848,"score_gpt":0.2264392448556334,"score_spread":0.2054530871911249,"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."}}