{"id":"W2114123904","doi":"10.1139/f09-029","title":"Factors influencing coastal cutthroat trout (Oncorhynchus clarkii clarkii) seasonal survival rates: a spatially continuous approach within stream networks","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"California Department of Fish and Wildlife; Oregon State University","keywords":"Oncorhynchus; Trout; Abiotic component; Watershed; Environmental science; Population; Fishery; Biotic component; Population dynamics of fisheries; Ecology; Biology; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004764323,0.0001604057,0.0001756106,0.0006191688,0.0002830855,0.0003176859,0.0001967887,0.0001386946,0.0002702716],"category_scores_gemma":[0.0007579731,0.0001235695,0.000141911,0.000565802,0.0003068255,0.0003134051,0.000351352,0.0001005916,0.00003758659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005012041,"about_ca_system_score_gemma":0.0002878228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02673735,"about_ca_topic_score_gemma":0.0834395,"domain_scores_codex":[0.9997601,0.00006400611,0.00001857733,0.00008643656,0.00003889304,0.00003203633],"domain_scores_gemma":[0.9993923,0.0001076351,0.0003133663,0.00004278733,0.00007667049,0.00006718899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005149834,0.00002221273,0.9942371,0.000006248632,0.00003542958,0.00002519436,0.0001990038,0.0002880747,0.003223568,0.00002041399,0.00001837234,0.001872893],"study_design_scores_gemma":[0.000001311815,0.00004136259,0.9989393,0.000001161667,0.00001012527,0.00002109371,0.0001699935,0.0006313206,0.000133644,0.00001455347,0.00003460307,0.000001430815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997972,0.0000145634,0.000104012,0.000002259696,2.3889e-7,0.000001982532,0.00004534788,9.110489e-7,0.00003356507],"genre_scores_gemma":[0.9995988,0.00001309068,0.0002293491,0.000001901899,9.158732e-7,0.000005572878,0.0001073613,5.156574e-7,0.00004238088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9732627,"threshold_uncertainty_score":0.05316347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848682826477339,"score_gpt":0.2143118537163731,"score_spread":0.1958250254515997,"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."}}