{"id":"W2084990311","doi":"10.3758/bf03192800","title":"Behavioral phenotyping in zebrafish: Comparison of three behavioral quantification methods","year":2006,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":299,"is_retracted":false,"has_abstract":false,"ca_institutions":"College of Family Physicians of Canada; University of Toronto","funders":"","keywords":"Zebrafish; Novelty; Aggression; Animal behavior; Brain function; Neuroscience; Behavioral pattern; Psychology; Biology; Computer science; Developmental psychology; Genetics; Zoology; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009440921,0.0002728326,0.0005036035,0.0007374178,0.0002193797,0.00007962889,0.001024962,0.0004595247,0.0001261771],"category_scores_gemma":[0.000764214,0.0002819554,0.000195372,0.001619822,0.0009831104,0.00002197089,0.0005586006,0.0008804362,0.00001782034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450056,"about_ca_system_score_gemma":0.0003545494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003600298,"about_ca_topic_score_gemma":0.001969698,"domain_scores_codex":[0.9932419,0.002730594,0.001045231,0.0009158097,0.001039947,0.001026513],"domain_scores_gemma":[0.9972018,0.0003726312,0.0002105776,0.001251849,0.0006805477,0.0002825989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007480612,0.001838793,0.03432739,0.00002221896,0.000006250805,0.000003425277,0.00004840542,0.000007045261,0.7584465,0.0007589685,0.0004825437,0.2039837],"study_design_scores_gemma":[0.0007586907,0.0005693321,0.1507436,0.00003344777,0.00003371886,0.00000560017,0.0003370438,0.0005451348,0.8339726,0.00122517,0.01144749,0.0003281844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7865521,0.0007044072,0.2105574,0.0001639642,0.00009874214,0.001291653,0.00004714819,0.00003151231,0.0005531095],"genre_scores_gemma":[0.7118279,0.0000244724,0.2865407,0.000005889837,0.0001220189,0.0009259204,0.0003459478,0.00005442251,0.0001527612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2036555,"threshold_uncertainty_score":0.9999633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3236072011575465,"score_gpt":0.6104451046833086,"score_spread":0.2868379035257621,"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."}}