{"id":"W6945412558","doi":"10.25607/tp2oyf","title":"DFO Pacific Inside South Hard Bottom Longline Surveys","year":2023,"lang":"en","type":"dataset","venue":"IOC of UNESCO (Intergovernmental Oceanographic Commission)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Habitat; Fishing; West coast; Pacific ocean; Nautical mile","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":[0.0009107374,0.001166376,0.0009073984,0.003040327,0.0009140108,0.001557733,0.001979904,0.00082341,0.06001662],"category_scores_gemma":[0.004251594,0.0006310059,0.000577574,0.009751431,0.0002848711,0.001031801,0.001271702,0.001258718,0.03646924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842223,"about_ca_system_score_gemma":0.004793147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2599094,"about_ca_topic_score_gemma":0.3191709,"domain_scores_codex":[0.9992434,0.00008045731,0.00006960153,0.0002012434,0.0002304078,0.0001750081],"domain_scores_gemma":[0.9976969,0.000256468,0.0003138669,0.0003192538,0.001141592,0.0002719164],"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":[0.00003095504,0.000009975675,0.00242449,0.0002423733,0.0000172441,0.00001751352,0.00002140938,0.0001383052,0.0000397651,0.0003928907,0.9943038,0.002361193],"study_design_scores_gemma":[0.0001097344,0.000007897323,0.02254734,0.0002679902,0.00002128608,0.0000380508,0.0001315242,0.0002424567,0.0001805635,0.0005002461,0.9759305,0.00002228106],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001408619,0.00001820577,0.00004009958,0.00003082736,0.00001093391,0.000009525719,0.9987351,0.00004801987,0.0009663675],"genre_scores_gemma":[0.0006668425,0.00004746013,0.0003280528,0.0000431238,0.000005196346,0.0001060199,0.9969892,0.0000483277,0.001765809],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7400906,"threshold_uncertainty_score":0.5167931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326233776623994,"score_gpt":0.2423312582809714,"score_spread":0.2190689205147315,"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."}}