{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004292713,0.0005821731,0.0008603249,0.0007909999,0.0003843681,0.0002071925,0.004914833,0.0001508618,0.000004161604],"category_scores_gemma":[0.003133017,0.0004629052,0.00002839771,0.002382696,0.001292165,0.001085277,0.002860324,0.0004648829,0.00003261766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002371402,"about_ca_system_score_gemma":0.001916675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002263057,"about_ca_topic_score_gemma":0.002146556,"domain_scores_codex":[0.9940287,0.0002296018,0.001194821,0.001879334,0.00196692,0.0007006051],"domain_scores_gemma":[0.9941939,0.0008240633,0.001080782,0.003208794,0.0003275473,0.0003649337],"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":[0.0002558084,0.001268314,0.003515314,0.002051293,0.00005820574,0.0002858522,0.002363909,0.0006170753,0.006723713,0.0003144268,0.9783818,0.004164319],"study_design_scores_gemma":[0.009080313,0.004424804,0.1293432,0.01786752,0.00283742,0.0008909603,0.002880242,0.09538193,0.007778096,0.001632291,0.7208992,0.006984085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01717583,0.0002236132,0.000437018,0.0001432544,0.0001505778,0.003313757,0.978501,0.00003606842,0.00001890923],"genre_scores_gemma":[0.1269836,0.00007251702,0.02596971,0.0002644901,0.00005835966,0.0007290388,0.8458338,0.00008372805,0.000004831431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2574826,"threshold_uncertainty_score":0.9997823,"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."}}