{"id":"W6923503579","doi":"10.14288/1.0210252","title":"UBC Institute of Fisheries Field Record B.C. 62-427","year":2014,"lang":"en","type":"other","venue":"Open Collections","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Gadus; Bustard; Field research; Fisheries science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000312761,0.0008833475,0.0004703886,0.004190471,0.002631556,0.001961667,0.001013127,0.0006043205,0.430657],"category_scores_gemma":[0.00114915,0.0004532706,0.0002182533,0.007333952,0.0004709714,0.001149317,0.00102651,0.001118008,0.3154073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004031509,"about_ca_system_score_gemma":0.004197681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3455332,"about_ca_topic_score_gemma":0.5466877,"domain_scores_codex":[0.9996043,0.00001757598,0.00003411237,0.00009987789,0.0001859855,0.00005818463],"domain_scores_gemma":[0.9984931,0.0000585635,0.0001017103,0.0001701165,0.00103959,0.0001369432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007292918,0.00002829672,0.003166073,0.0002098729,0.000008613837,0.00007580354,0.00005045205,0.00008406691,0.0004283139,0.00118282,0.9181858,0.07650703],"study_design_scores_gemma":[0.000007020115,0.000007021869,0.01737899,0.0001588032,0.000004345445,0.00006362176,0.00009644227,0.00008119766,0.0002896513,0.0001446241,0.9817557,0.00001256268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.00295692,0.001168621,0.0003091418,0.0004935818,0.000922316,0.0001280738,0.2418167,0.0004957499,0.7517089],"genre_scores_gemma":[0.01172953,0.001706894,0.001487899,0.0002423884,0.000155754,0.0001208521,0.1094881,0.0003223296,0.8747463],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6544669,"threshold_uncertainty_score":0.8120986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242395442452226,"score_gpt":0.2283515863884895,"score_spread":0.2159276319639672,"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."}}