{"id":"W2981401674","doi":"10.4095/213888","title":"Residual magnetic total field and electromagnetic anomalies, Manning Lake, 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; Geodesy; Hydrology (agriculture); Geography; Physical geography; Mathematics; Geotechnical engineering","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":[0.0004671663,0.0004854965,0.0002978235,0.00159062,0.003804776,0.001061303,0.0009237432,0.000298825,0.01217695],"category_scores_gemma":[0.001636566,0.0004196645,0.0002624739,0.004048168,0.0005305419,0.0006725781,0.0007852804,0.0003801374,0.002021049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01299698,"about_ca_system_score_gemma":0.02781951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935661,"about_ca_topic_score_gemma":0.9979743,"domain_scores_codex":[0.9993112,0.00002658868,0.00002372377,0.00009715943,0.0004358328,0.0001054823],"domain_scores_gemma":[0.9986431,0.00009102204,0.0001174124,0.0000973448,0.0009083807,0.0001428042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008935443,0.0001723136,0.5349249,0.0004569587,0.000152688,0.000704722,0.006010491,0.005706371,0.006033763,0.00593023,0.2445933,0.1944208],"study_design_scores_gemma":[0.00006243317,0.00004813973,0.866579,0.00004885168,0.00005602112,0.0001088226,0.00236949,0.002823543,0.003144018,0.0004051459,0.1243067,0.00004792005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5290254,0.002289113,0.006324184,0.001818232,0.0001478095,0.0006247981,0.2736661,0.001235265,0.1848691],"genre_scores_gemma":[0.4757192,0.001836411,0.01035051,0.0001241046,0.00005710747,0.0002923843,0.0564227,0.0004077585,0.4547899],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01299698,"threshold_uncertainty_score":0.09430009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325811834177445,"score_gpt":0.2309459873159704,"score_spread":0.207687868974196,"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."}}