{"id":"W2981500347","doi":"10.4095/220894","title":"Residual total magnetic field, 21N/16 - Wild Goose Lake, Quebec","year":2005,"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":"Goose; Field (mathematics); Residual; Geography; Cartography; Biology; Ecology; Computer science; 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":[0.0002541583,0.0004239603,0.0003608234,0.001320941,0.002169819,0.0007686184,0.001121181,0.0003684667,0.01181267],"category_scores_gemma":[0.0007640026,0.0001885969,0.000175204,0.002345993,0.00031914,0.0004481052,0.0003337535,0.0004463364,0.001499429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01198186,"about_ca_system_score_gemma":0.01362815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948798,"about_ca_topic_score_gemma":0.9982687,"domain_scores_codex":[0.9997241,0.00001223858,0.000009282808,0.00005046063,0.0001285222,0.00007547204],"domain_scores_gemma":[0.9989446,0.00004010695,0.00005160464,0.00004283805,0.0008116331,0.0001091977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001014465,0.0004437285,0.6814937,0.0003010457,0.000238579,0.00118522,0.001327396,0.006867614,0.008865233,0.00126596,0.1972729,0.09972424],"study_design_scores_gemma":[0.00009753853,0.00004469751,0.9656643,0.00002846256,0.00004173702,0.00007016236,0.0008408495,0.003331802,0.001426424,0.00008407576,0.0283426,0.00002736343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6957368,0.0004609702,0.001339083,0.0007226848,0.0000826679,0.0003852465,0.2365874,0.0005723631,0.0641127],"genre_scores_gemma":[0.8080211,0.0003583447,0.002426844,0.000230486,0.00002402056,0.0001437707,0.09036823,0.0001319194,0.09829535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198186,"threshold_uncertainty_score":0.08693486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515283560844406,"score_gpt":0.2294522833743518,"score_spread":0.2142994477659078,"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."}}