{"id":"W4229850262","doi":"10.4095/220934","title":"Residual total magnetic field, 21P/13 - Pointe verte, New Brunswick","year":2005,"lang":"en","type":"report","venue":"","topic":"Geological Studies and Exploration","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; Mathematics; 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":[0.0006800584,0.0008642273,0.0005190082,0.002874469,0.00177786,0.001024947,0.002728371,0.0004604764,0.03701206],"category_scores_gemma":[0.001605336,0.0005147822,0.000292601,0.004027412,0.0003245321,0.00110064,0.000779554,0.001181144,0.008699743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006076805,"about_ca_system_score_gemma":0.01113102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8884037,"about_ca_topic_score_gemma":0.9513828,"domain_scores_codex":[0.9993922,0.00003665411,0.00003366972,0.0001274087,0.0002825453,0.0001274897],"domain_scores_gemma":[0.9977927,0.000195278,0.0001255936,0.0002295232,0.001492138,0.000164735],"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":[0.001680674,0.0004429706,0.2285966,0.0006739483,0.0001898487,0.001727085,0.001390874,0.005806048,0.01584857,0.004249493,0.5358974,0.2034965],"study_design_scores_gemma":[0.0001574128,0.0001386624,0.5750889,0.0001207201,0.0001001053,0.0003444562,0.001228387,0.001972572,0.01534832,0.0006725364,0.4047336,0.00009442501],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1110203,0.001637547,0.003291087,0.001393949,0.0003604699,0.0005767174,0.6654168,0.0009035756,0.2153996],"genre_scores_gemma":[0.2294382,0.001943045,0.006291563,0.00028976,0.00008727043,0.0004744318,0.2819854,0.0007556276,0.4787347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1115963,"threshold_uncertainty_score":0.224507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201262561857064,"score_gpt":0.2320455477623106,"score_spread":0.2000329221437399,"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."}}