{"id":"W7133281679","doi":"","title":"State of fish and fish habitat reporting : part 2","year":2023,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada","keywords":"Habitat; Species richness; Resource (disambiguation); Fish habitat; Weighting; Aquatic ecosystem; Ecosystem; Unit (ring theory); Sampling (signal processing); Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":true,"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":[0.01283456,0.000717446,0.0006656075,0.02272942,0.0007694209,0.003585871,0.002532679,0.0006444802,0.01425331],"category_scores_gemma":[0.02559162,0.0006635759,0.001001777,0.03407264,0.0004921007,0.001477166,0.001114781,0.0005754826,0.003170194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01023046,"about_ca_system_score_gemma":0.02195375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5324649,"about_ca_topic_score_gemma":0.5116235,"domain_scores_codex":[0.9867577,0.001076368,0.002190935,0.001014687,0.008061561,0.0008986273],"domain_scores_gemma":[0.9579258,0.005159461,0.007189155,0.002351484,0.02605614,0.001317943],"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":[0.0004422205,0.0001901603,0.2903855,0.01113799,0.0005444491,0.0002962423,0.002444878,0.002334678,0.002823749,0.003519024,0.437627,0.2482541],"study_design_scores_gemma":[0.00002375601,0.00008100838,0.7002627,0.002216482,0.0001607807,0.0001333904,0.001180933,0.0009354276,0.001250353,0.0002566657,0.293431,0.00006752662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.05240452,0.007595689,0.004182555,0.001479921,0.0006226982,0.003847923,0.8581072,0.0008723184,0.07088724],"genre_scores_gemma":[0.137162,0.007225208,0.01183443,0.001131108,0.0003344763,0.004446809,0.8089115,0.0003326294,0.02862181],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4675351,"threshold_uncertainty_score":0.940577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431478079154592,"score_gpt":0.246604719487007,"score_spread":0.2322899386954611,"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."}}