{"id":"W6907556055","doi":"10.24431/rw1k46d","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, 2015-2017","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":"Foraging; Replicate; Flume; Grayling; Salvelinus; Chinook wind; Predation; Juvenile","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":[0.005049394,0.001285173,0.0007220946,0.001406673,0.0007241854,0.001536989,0.002515552,0.001159792,0.001877149],"category_scores_gemma":[0.007080052,0.0009378319,0.001956806,0.000613547,0.0004590232,0.001099533,0.001223871,0.0008415054,0.000641391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002319477,"about_ca_system_score_gemma":0.002784014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09145999,"about_ca_topic_score_gemma":0.08376192,"domain_scores_codex":[0.9993255,0.0002954007,0.00004489029,0.0002257412,0.00004085382,0.00006760992],"domain_scores_gemma":[0.9966181,0.002164975,0.0003469573,0.0001795668,0.0005032149,0.0001872676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001466004,0.0002848247,0.2356676,0.0001053746,0.0009575863,0.00008664736,0.0001405834,0.7411951,0.0003641261,0.001166512,0.002233272,0.01765181],"study_design_scores_gemma":[0.00003177754,0.0000692922,0.03422993,0.0000399306,0.00009929408,0.00002398116,0.00008895699,0.9638013,0.0001053466,0.0009698917,0.0005193242,0.00002109282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9697945,0.00045159,0.0202261,0.001101015,0.00005342297,0.00008701516,0.005296031,0.0007164197,0.00227403],"genre_scores_gemma":[0.9860715,0.0001108128,0.007575863,0.00008535128,0.00002098878,0.00009562291,0.005299238,0.00005969041,0.0006808867],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.09145999,"threshold_uncertainty_score":0.1818553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2353068247783539,"score_gpt":0.3624731545583456,"score_spread":0.1271663297799917,"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."}}