{"id":"W2059882495","doi":"10.1016/j.pbb.2015.01.011","title":"The effect of the number and size of animated conspecific images on shoaling responses of zebrafish","year":2015,"lang":"en","type":"article","venue":"Pharmacology Biochemistry and Behavior","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Zebrafish; Shoaling and schooling; Stimulus (psychology); Shoal; Presentation (obstetrics); Fish <Actinopterygii>; Computer science; Neuroscience; Psychology; Biology; Artificial intelligence; Ecology; Communication; Cognitive psychology; Fishery; Medicine; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001457892,0.0004039545,0.0004054997,0.0002241003,0.0001982415,0.0004283109,0.0003537807,0.0005226072,0.003827479],"category_scores_gemma":[0.0009804579,0.0003682602,0.0002375619,0.000103478,0.0004784233,0.0005117533,0.0004832535,0.001058792,0.0003105087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004920447,"about_ca_system_score_gemma":0.000335259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734954,"about_ca_topic_score_gemma":0.003506223,"domain_scores_codex":[0.9998013,0.00003110524,0.0000189983,0.00004134667,0.00004014889,0.00006712629],"domain_scores_gemma":[0.9990664,0.0003570663,0.0001162262,0.00005018492,0.00007579229,0.0003343711],"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":[0.001415831,0.0001056699,0.0006295439,0.00003138361,0.00000787435,0.00006092756,0.00003715161,0.00006708784,0.9961403,0.00003994196,0.00004709891,0.001417222],"study_design_scores_gemma":[0.0001180882,0.001704592,0.08840986,0.00001705906,0.00007041661,0.0001773714,0.0002454787,0.002795334,0.9052857,0.0001112625,0.001028407,0.00003660846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985189,0.000249832,0.0001749347,0.00007466367,0.00002899911,0.000006858783,0.00008025098,0.000009893267,0.0008556097],"genre_scores_gemma":[0.9950021,0.0003047732,0.0006099085,0.000142964,0.00003138324,0.00003622748,0.0001500833,0.00002937845,0.003693099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003827479,"threshold_uncertainty_score":0.01280421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636900654908216,"score_gpt":0.3492178646334132,"score_spread":0.332848858084331,"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."}}