{"id":"W4389999833","doi":"10.2305/iucn.uk.2023-1.rlts.t196580391a196581041.en","title":"Salmo salar Quebec Eastern North Shore subpopulation: Rand, P.S.","year":2010,"lang":"en","type":"dataset","venue":"IUCN Red List of Threatened Species","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salmo; Shore; Fishery; Geography; Zoology; Fish <Actinopterygii>; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003667836,0.0007627691,0.0007818725,0.002424041,0.001065464,0.0008655904,0.001832778,0.0004752079,0.04210309],"category_scores_gemma":[0.001571379,0.0003384475,0.0004369748,0.006767177,0.0002190259,0.0004010845,0.0005589915,0.000760058,0.01192184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006867656,"about_ca_system_score_gemma":0.01204914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9666264,"about_ca_topic_score_gemma":0.9861003,"domain_scores_codex":[0.9997068,0.00001431233,0.00002466827,0.00007302788,0.00009691974,0.00008423151],"domain_scores_gemma":[0.9983871,0.00006080882,0.0001628465,0.00008989361,0.001128411,0.0001709522],"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":[0.00009890638,0.00001825006,0.0242568,0.0003419419,0.00006347999,0.00003920116,0.00005717099,0.0002067645,0.0000752151,0.0002897994,0.9686719,0.005880437],"study_design_scores_gemma":[0.0002923837,0.00002990781,0.4423936,0.0007544684,0.00009606948,0.00008215409,0.0005638197,0.0008063369,0.0002549044,0.0002851452,0.5544001,0.00004111273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002485432,0.000166456,0.00004520588,0.00005904427,0.00001744477,0.00003643653,0.994624,0.00004499903,0.002521021],"genre_scores_gemma":[0.01334325,0.0002840084,0.0003045936,0.0001434752,0.00001702137,0.0002094438,0.9741557,0.00003727803,0.01150513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04210309,"threshold_uncertainty_score":0.1408488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250042868990908,"score_gpt":0.2488291380645963,"score_spread":0.2263287093746872,"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."}}