{"id":"W7133276767","doi":"","title":"Black redhorse RPA","year":2022,"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":"Cobble; Tributary; Hydrology (agriculture); Population; STREAMS; San Joaquin; Fishing","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":[0.0001398082,0.0004047771,0.0002192796,0.0007318925,0.001436764,0.0004444147,0.0003717536,0.0002608193,0.02579618],"category_scores_gemma":[0.0002476002,0.0001454272,0.0002063764,0.00043758,0.0002775273,0.0002510135,0.00061496,0.0003102838,0.01033188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074624,"about_ca_system_score_gemma":0.001489105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3293686,"about_ca_topic_score_gemma":0.6520431,"domain_scores_codex":[0.9998167,0.000008996598,0.0000047182,0.00004537658,0.00007818583,0.00004598925],"domain_scores_gemma":[0.9998258,0.000008523898,0.00002462016,0.0000146796,0.00007336454,0.00005296626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003803187,0.0005868215,0.3004704,0.0003395439,0.0001050191,0.00232695,0.002195555,0.0003124484,0.03017332,0.002313497,0.1034887,0.5573074],"study_design_scores_gemma":[0.00003460476,0.000367109,0.7097079,0.0002891798,0.00007320645,0.002732979,0.002846467,0.0004908796,0.001686995,0.0003971368,0.2813249,0.00004856593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6486313,0.002330744,0.002331674,0.001025657,0.0002839512,0.0004027867,0.0118774,0.0008032102,0.3323133],"genre_scores_gemma":[0.7638118,0.002040617,0.006521316,0.00178507,0.00007048914,0.0002868111,0.007881584,0.000122624,0.2174797],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3293686,"threshold_uncertainty_score":0.6549029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009141259929913971,"score_gpt":0.2325587904466962,"score_spread":0.2234175305167823,"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."}}