{"id":"W2982040844","doi":"10.4095/214853","title":"Residual magnetic total field, Limestone Rapids, Ontario","year":2003,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Geology; Field (mathematics); Geochemistry; Archaeology; 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":[0.0002700424,0.0003446123,0.0002683761,0.001254983,0.004167918,0.000962235,0.0006772449,0.0002106166,0.02200931],"category_scores_gemma":[0.0008660775,0.000226592,0.000163867,0.002706137,0.0004811268,0.0003903124,0.0004785892,0.0002466459,0.003529757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01516685,"about_ca_system_score_gemma":0.01901138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895701,"about_ca_topic_score_gemma":0.9974751,"domain_scores_codex":[0.9995903,0.00001561531,0.00001120607,0.00007460199,0.000222299,0.00008593379],"domain_scores_gemma":[0.9990923,0.00004042622,0.00004234855,0.00003706699,0.0006975077,0.00009028507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001687235,0.0002442197,0.4414822,0.0008608077,0.0001246365,0.001854315,0.009621599,0.005114307,0.01868163,0.006409572,0.2931559,0.2207636],"study_design_scores_gemma":[0.0001088683,0.00008053445,0.7472454,0.00008640415,0.00006620933,0.0003129141,0.004701935,0.002121866,0.005450245,0.0004901323,0.2392926,0.0000429379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.590631,0.001263604,0.002802415,0.001975873,0.0001130959,0.0004662471,0.108294,0.001269861,0.293184],"genre_scores_gemma":[0.595123,0.001000602,0.004110703,0.0001318898,0.00002937616,0.0001177314,0.01891674,0.0001964763,0.3803735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02200931,"threshold_uncertainty_score":0.1100438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378116604078844,"score_gpt":0.2392808824021249,"score_spread":0.2154997163613364,"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."}}