{"id":"W22414303","doi":"","title":"Colour discrimination thresholds in a trigger fish, Rinecanthus aculeatus","year":2009,"lang":"en","type":"article","venue":"Chronic diseases and injuries in Canada","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fish <Actinopterygii>; Biology; Fishery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002818311,0.00008905059,0.0001196453,0.00004310968,0.00007297193,0.00003780914,0.0001116878,0.00001164438,0.0001552783],"category_scores_gemma":[0.000003907483,0.00008095063,0.0000211905,0.0002178728,0.00004976441,0.0001451204,0.00002670715,0.00006801475,6.629874e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003315268,"about_ca_system_score_gemma":0.001268898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3900662,"about_ca_topic_score_gemma":0.7640963,"domain_scores_codex":[0.9993299,0.0000090487,0.000148041,0.000185228,0.0001071363,0.0002206214],"domain_scores_gemma":[0.9997163,0.00002451603,0.00003479178,0.0001272544,0.00001355043,0.00008358075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005264451,0.0003326802,0.5924244,0.00003554247,0.00001445651,0.0000131691,0.0003522866,0.0004562373,0.00008536545,0.08164591,0.02664595,0.2979413],"study_design_scores_gemma":[0.0005976895,0.00006928267,0.9709536,0.00004090145,0.00001358227,2.736723e-7,0.0007707287,0.001633848,0.000106401,0.0068553,0.0187622,0.0001961437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931462,0.0003351905,0.00001371939,0.002369501,0.00006169952,0.0001696528,0.0001262591,0.000005288497,0.00377249],"genre_scores_gemma":[0.9994575,0.00003473077,0.000005192529,0.0002062607,0.00007107493,0.00004988984,0.0000320569,0.000003033228,0.0001403002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3785292,"threshold_uncertainty_score":0.6139954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005058586057133986,"score_gpt":0.2414466945763808,"score_spread":0.2363881085192468,"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."}}