{"id":"W195255639","doi":"10.1023/a:1025762314250","title":"Zebra Fish: An Uncharted Behavior Genetic Model","year":2003,"lang":"en","type":"article","venue":"Behavior Genetics","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":232,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; ZEBRA (computer); Model organism; Fish <Actinopterygii>; Genetics; Genetic screen; Vertebrate; Evolutionary biology; Identification (biology); Zoology; Gene; Ecology; Mutant; Fishery; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001243965,0.0007065365,0.0004322028,0.0005229553,0.0004409542,0.000443818,0.001104973,0.0007101484,0.002129718],"category_scores_gemma":[0.0001830928,0.0002507111,0.0002813581,0.0001270171,0.00222277,0.0006821933,0.0007386471,0.001096526,0.0006854038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007174388,"about_ca_system_score_gemma":0.0008552219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00274359,"about_ca_topic_score_gemma":0.004248533,"domain_scores_codex":[0.9998647,0.00001660063,0.000005729352,0.00004630437,0.00003980905,0.00002679856],"domain_scores_gemma":[0.9998933,0.0000235569,0.00001585631,0.00002673902,0.00001206404,0.00002848116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004559367,0.0001101201,0.001551377,0.0001236582,0.00002822983,0.000609731,0.0002046566,0.002366285,0.7965907,0.1828564,0.001449931,0.01365304],"study_design_scores_gemma":[0.0005639159,0.00189695,0.01942849,0.0002053518,0.0004953552,0.005960864,0.0008535063,0.03226146,0.7150228,0.1158396,0.1072354,0.0002363648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8142202,0.001400592,0.1368575,0.005958711,0.0003340767,0.0001666766,0.001788377,0.001759816,0.03751405],"genre_scores_gemma":[0.8760316,0.001390145,0.06684884,0.0008329762,0.00004627632,0.0002451073,0.0005419226,0.0002628319,0.05380034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00274359,"threshold_uncertainty_score":0.007124543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03357785876609982,"score_gpt":0.3269164403925561,"score_spread":0.2933385816264563,"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."}}