{"id":"W2981641866","doi":"10.4095/215927","title":"Residual total magnetic field, 21 O/16 - Charlo, New Brunswick","year":2004,"lang":"en","type":"report","venue":"","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Mathematics; Pure mathematics; Algorithm","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":[0.0004483853,0.0008544376,0.0004296148,0.002514477,0.001638974,0.0009859519,0.002560903,0.0004045131,0.03266958],"category_scores_gemma":[0.001009677,0.0004568906,0.0003032607,0.003413197,0.0003228653,0.0008866459,0.000765351,0.001037706,0.007436488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005306283,"about_ca_system_score_gemma":0.01278727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.909076,"about_ca_topic_score_gemma":0.9653239,"domain_scores_codex":[0.9995816,0.00002045323,0.00002675946,0.000099016,0.0001644795,0.0001076846],"domain_scores_gemma":[0.9986462,0.0001157948,0.0001047888,0.0001457827,0.0008425658,0.0001448804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001907223,0.0005705855,0.3221848,0.0007423189,0.000208845,0.002026533,0.001856696,0.00402021,0.01755397,0.003067907,0.4193177,0.2265432],"study_design_scores_gemma":[0.0001345775,0.0001306794,0.6872343,0.0001319425,0.00008037125,0.0003198419,0.001432296,0.00121345,0.008376216,0.0003598189,0.3005181,0.00006834088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2219345,0.002013408,0.002158595,0.001425307,0.000307941,0.0005773057,0.5788188,0.0008596901,0.1919044],"genre_scores_gemma":[0.2568644,0.001991911,0.004631094,0.0004220896,0.00007630979,0.0004656775,0.2280044,0.0005489207,0.5069952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09092396,"threshold_uncertainty_score":0.1829188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467538762253439,"score_gpt":0.2230928911686048,"score_spread":0.1984175035460704,"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."}}