{"id":"W2521883169","doi":"10.1016/j.bbr.2016.09.044","title":"A simple automated system for appetitive conditioning of zebrafish in their home tanks","year":2016,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University; Dalhousie University","funders":"Canadian Institutes of Health Research; Naif Arab University for Security Sciences","keywords":"Zebrafish; Conditioning; Classical conditioning; Stimulus (psychology); Computer science; Arduino; Operant conditioning; Psychology; Neuroscience; Artificial intelligence; Cognitive psychology; Embedded system; Reinforcement; Biology","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":[0.0003743301,0.0008133422,0.0007108925,0.0007047901,0.0005054404,0.0004258511,0.001962847,0.0007014544,0.02154115],"category_scores_gemma":[0.000587929,0.0006487682,0.0004288553,0.0002467235,0.0003014475,0.0005584856,0.001426884,0.0006140586,0.004936055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004742309,"about_ca_system_score_gemma":0.001000533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002210643,"about_ca_topic_score_gemma":0.004029727,"domain_scores_codex":[0.9995524,0.00002251058,0.00002847871,0.000146658,0.000182341,0.0000675645],"domain_scores_gemma":[0.9996468,0.00007575225,0.00003828046,0.00008758868,0.00008127751,0.0000703909],"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":[0.0003896225,0.0001673309,0.001838968,0.0001541851,0.0000427489,0.0001365165,0.00008094217,0.0008331009,0.9104793,0.0005772263,0.006833268,0.0784667],"study_design_scores_gemma":[0.0003617991,0.00116188,0.02422209,0.00006566119,0.000184281,0.0009314505,0.00006314671,0.06608691,0.8441122,0.001411845,0.06114305,0.000255804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1090644,0.0002512295,0.7993861,0.000348135,0.0003936936,0.00154754,0.002754318,0.08037888,0.005875667],"genre_scores_gemma":[0.3712775,0.0002182315,0.5955007,0.0008424741,0.0001593861,0.003291979,0.002908306,0.002798022,0.02300344],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02154115,"threshold_uncertainty_score":0.07206231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05001240462441853,"score_gpt":0.3770324318740795,"score_spread":0.327020027249661,"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."}}