{"id":"W7114775529","doi":"10.15468/g4mwg7","title":"Northumberland Strait multi-species trawl survey dataset","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Crustacean; Fish <Actinopterygii>; Abundance (ecology); Fishing; Distribution (mathematics); Division (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0009104598,0.001835849,0.0009307886,0.002694347,0.0006113555,0.001064311,0.001709966,0.0007927906,0.06093479],"category_scores_gemma":[0.002832399,0.0006110062,0.0004877965,0.006107762,0.0002808861,0.001063337,0.0009932109,0.0008984601,0.03733499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808807,"about_ca_system_score_gemma":0.002689424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.201441,"about_ca_topic_score_gemma":0.2989505,"domain_scores_codex":[0.9994624,0.00006714886,0.00008535087,0.000161969,0.0001310297,0.00009210147],"domain_scores_gemma":[0.9982571,0.0002619238,0.000252762,0.0001859519,0.0008749332,0.0001673265],"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":[0.00003258805,0.00001339957,0.00290656,0.0002469292,0.00002649099,0.00002763655,0.00001507692,0.0002300372,0.00004028522,0.0002207058,0.9939465,0.002293913],"study_design_scores_gemma":[0.0003405412,0.00003952018,0.08488072,0.0006552124,0.00007399993,0.0001123315,0.0002225858,0.001492481,0.000246918,0.001058968,0.910807,0.00006984477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001891844,0.00002114493,0.00002733441,0.00002202206,0.00001054778,0.000006595815,0.9993394,0.00002897082,0.0003548045],"genre_scores_gemma":[0.0007358076,0.00003625836,0.0001766855,0.00003146704,0.000004427083,0.0000761396,0.998137,0.00001817638,0.0007839716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.798559,"threshold_uncertainty_score":0.400537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05015532926502005,"score_gpt":0.2547361701443303,"score_spread":0.2045808408793103,"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."}}