{"id":"W2981944639","doi":"10.4095/215728","title":"Residual magnetic total field, Waterford, 21 H/11, New Brunswick","year":2004,"lang":"en","type":"report","venue":"","topic":"Earthquake Detection and Analysis","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; Algorithm; 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":[0.0003856812,0.0008415378,0.0003265989,0.002269916,0.00211783,0.0009333027,0.00177852,0.0004290598,0.05484977],"category_scores_gemma":[0.0009353746,0.0005133362,0.0002087531,0.003215477,0.0004263005,0.0009760914,0.0005728957,0.001070393,0.01051779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004041005,"about_ca_system_score_gemma":0.0073968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8315787,"about_ca_topic_score_gemma":0.9504463,"domain_scores_codex":[0.9996561,0.0000178277,0.00001740939,0.0000992928,0.0001260387,0.00008326804],"domain_scores_gemma":[0.9987454,0.0001255415,0.00009141258,0.00012757,0.0007618104,0.0001481061],"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":[0.001128708,0.0004774051,0.2040461,0.0004888411,0.000109003,0.002317754,0.002823991,0.00258798,0.02008653,0.002930186,0.4722855,0.290718],"study_design_scores_gemma":[0.00009863422,0.0001131001,0.6375032,0.0001349159,0.00006333508,0.0003993947,0.001931749,0.001262472,0.009619975,0.0005119583,0.3482895,0.00007173794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2897567,0.002586253,0.004830795,0.002859336,0.0004793516,0.0009360315,0.4133878,0.001626479,0.2835373],"genre_scores_gemma":[0.2403391,0.001925219,0.006245037,0.000441697,0.00009280413,0.0004443971,0.08654653,0.0006902658,0.6632749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1684213,"threshold_uncertainty_score":0.3388264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763181500449229,"score_gpt":0.228183387391012,"score_spread":0.2105515723865197,"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."}}