{"id":"W2749947100","doi":"10.1007/s10071-017-1102-x","title":"Zebrafish prefer larger to smaller shoals: analysis of quantity estimation in a genetically tractable model organism","year":2017,"lang":"en","type":"article","venue":"Animal Cognition","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"General Electric (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Zebrafish; Shoal; Preference; Context (archaeology); Shoaling and schooling; Biology; Model organism; Evolutionary biology; Ecology; Psychology; Cognitive psychology; Statistics; Genetics; Mathematics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003592127,0.0001005135,0.0001794118,0.0001695867,0.000110079,0.00005988953,0.000274014,0.0001498055,0.00009285627],"category_scores_gemma":[0.0009086411,0.0001029612,0.00008094023,0.0002463925,0.00009424704,0.00001755845,0.000148747,0.00009038681,0.00003256686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001431118,"about_ca_system_score_gemma":0.00009138822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000779042,"about_ca_topic_score_gemma":0.0008258154,"domain_scores_codex":[0.9988704,0.00003842717,0.0002572954,0.0003439429,0.000256418,0.0002335469],"domain_scores_gemma":[0.9990777,0.00001930922,0.00009812479,0.0004272807,0.0002410513,0.0001365326],"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":[0.0001578332,0.0002472935,0.002583876,0.00001380192,0.0001498565,0.0000010576,0.00002693294,0.0003729819,0.9942784,0.0003768743,0.0004431436,0.001347941],"study_design_scores_gemma":[0.00077396,0.0004577618,0.5644429,0.00002757214,0.0003251861,0.000001119224,0.00002735606,0.1262596,0.3059036,0.00105862,0.0004365997,0.0002857833],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951509,0.00001902182,0.04609712,0.0004646745,0.000007483952,0.0002932944,0.000109361,0.000007787383,0.001492245],"genre_scores_gemma":[0.9936495,0.00003158094,0.005421584,0.0002271318,0.0000238939,0.00008404256,0.0004598127,0.00001370667,0.00008871123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6883749,"threshold_uncertainty_score":0.4198636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03970402796516493,"score_gpt":0.3477986750180036,"score_spread":0.3080946470528387,"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."}}