{"id":"W4235080169","doi":"10.4095/213881","title":"Residual magnetic field contours and em anomalies with Keating coefficients, 42A/13SE, 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); Geometry; Mathematics; Geodesy; Geology; Pure 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":[0.0002807959,0.0002642703,0.0002144246,0.0008723272,0.001315193,0.0007007442,0.0005832084,0.000177816,0.01036773],"category_scores_gemma":[0.001286737,0.0001793018,0.0001549596,0.002367706,0.0003638559,0.0003076697,0.0003167381,0.0002458814,0.002864438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004340469,"about_ca_system_score_gemma":0.008582592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9734465,"about_ca_topic_score_gemma":0.9903837,"domain_scores_codex":[0.9997342,0.00001111901,0.0000122172,0.00004746122,0.0001483766,0.00004657791],"domain_scores_gemma":[0.9990545,0.00004507955,0.00005312064,0.00007432885,0.0007099022,0.00006301113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001153083,0.0001278117,0.5946727,0.0003208932,0.00009174526,0.0005799232,0.003409087,0.01080136,0.01278505,0.005779954,0.2160977,0.1541807],"study_design_scores_gemma":[0.00006259894,0.00003272909,0.9135584,0.00002018453,0.00004056233,0.00007884276,0.001147939,0.003130362,0.004740872,0.0003343091,0.07682882,0.00002437172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6119229,0.0004196683,0.006097209,0.0005293625,0.0000759457,0.0001721051,0.2193763,0.001005333,0.1604012],"genre_scores_gemma":[0.7553592,0.0003927421,0.006249177,0.00003933443,0.00002221277,0.00006269879,0.07406389,0.0004438941,0.1633669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02655351,"threshold_uncertainty_score":0.05341971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420717967011585,"score_gpt":0.2324540194895502,"score_spread":0.2082468398194343,"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."}}