{"id":"W6888850405","doi":"10.24431/rw1k46f","title":"Development and testing of mechanistic fitness-based models to predict habitat choice, behavior, and recruitment of juvenile Chinook salmon in the Arctic-Yukon-Kuskokwim region","year":2020,"lang":"en","type":"dataset","venue":"Axiom Data Science","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chinook wind; Juvenile; Dominance (genetics); Captivity; Predation; Minnow","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":[0.001906909,0.0007733263,0.0004519594,0.001547924,0.000587293,0.0007593043,0.002861867,0.001149136,0.01101477],"category_scores_gemma":[0.005699359,0.0004838311,0.001350012,0.001426592,0.000299588,0.0007913279,0.001051214,0.0006613655,0.004553238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002519281,"about_ca_system_score_gemma":0.002360625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1890047,"about_ca_topic_score_gemma":0.2573545,"domain_scores_codex":[0.9996248,0.00009529075,0.00003434254,0.0001381123,0.00005521805,0.00005224864],"domain_scores_gemma":[0.997693,0.00117312,0.000148828,0.0003444997,0.0005068427,0.0001336839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005856255,0.0005717588,0.3669006,0.001012851,0.0008532454,0.0002594928,0.0003797125,0.289727,0.001262553,0.003816566,0.2842258,0.05040476],"study_design_scores_gemma":[0.0008661385,0.0003023753,0.3295817,0.0005409689,0.000263212,0.0001544911,0.001247117,0.562614,0.001793851,0.007587451,0.09486584,0.000182915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1161021,0.0001267833,0.004054187,0.0005717028,0.00004004207,0.0001407059,0.8749173,0.001346743,0.002700538],"genre_scores_gemma":[0.1563909,0.00009373447,0.01015721,0.00008511772,0.00001110561,0.0004688342,0.8307038,0.0001819254,0.001907354],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1890047,"threshold_uncertainty_score":0.3758092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2310830364375154,"score_gpt":0.3495906355032355,"score_spread":0.1185075990657201,"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."}}