{"id":"W2067818533","doi":"10.1016/j.bbr.2011.09.001","title":"In search of optimal fear inducing stimuli: Differential behavioral responses to computer animated images in zebrafish","year":2011,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":104,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health","keywords":"Zebrafish; Sympatric speciation; Silhouette; Neuroscience; Psychology; Stimulus (psychology); Habituation; Biology; Cognitive psychology; Ecology; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002026326,0.0002033324,0.0002921452,0.0009025583,0.00009483817,0.00005392209,0.0008748452,0.0002812016,0.0003565467],"category_scores_gemma":[0.0005646187,0.0002026013,0.00008290509,0.001181302,0.0005425274,0.00002304059,0.001094816,0.0007724935,0.00004112782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083292,"about_ca_system_score_gemma":0.0003338823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003581987,"about_ca_topic_score_gemma":0.0005603169,"domain_scores_codex":[0.9959288,0.0008198438,0.0005154989,0.0007183437,0.0009568213,0.00106067],"domain_scores_gemma":[0.9983637,0.0001799736,0.00004191323,0.0006068574,0.0003917223,0.0004158472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001014946,0.0009781461,0.07758272,0.00002250893,0.000009124,0.0001021083,0.0006155294,0.000005118651,0.9127983,0.00005090793,0.004757952,0.002062624],"study_design_scores_gemma":[0.001065311,0.001463995,0.6211596,0.00005512226,0.000002939687,0.000009459697,0.0002888044,0.0001097619,0.3754641,0.00001849122,0.0001589561,0.0002035737],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973441,0.00003231478,0.0003470918,0.001052978,0.00003736794,0.0009511399,0.0001170045,0.0000139022,0.0001040794],"genre_scores_gemma":[0.995114,0.00001125614,0.003953127,0.0000772097,0.00007514247,0.0001914775,0.0001109336,0.00004208749,0.0004247513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5435768,"threshold_uncertainty_score":0.8261842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1367074964260978,"score_gpt":0.4214328775456013,"score_spread":0.2847253811195035,"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."}}