{"id":"W2949417618","doi":"10.1101/068833","title":"Contextual Fear Conditioning in Zebrafish","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Zebrafish; Fear conditioning; Extinction (optical mineralogy); Neuroscience; Conditioning; Classical conditioning; Vertebrate; Psychology; Stimulus (psychology); NMDA receptor; Biology; Unconditioned stimulus; Cognitive psychology; Receptor; Genetics; Gene; Amygdala","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":[0.0001539185,0.0004509088,0.0002387765,0.0004018555,0.0002145459,0.0002405525,0.0003703433,0.0002460909,0.002195039],"category_scores_gemma":[0.0001043414,0.0001386837,0.0003308488,0.0001699596,0.0004787899,0.0002330343,0.0004092619,0.0007415324,0.0004115888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110349,"about_ca_system_score_gemma":0.0004007303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007306951,"about_ca_topic_score_gemma":0.01018141,"domain_scores_codex":[0.9998559,0.000009034024,0.00001125414,0.00004077824,0.00005941398,0.00002373029],"domain_scores_gemma":[0.9999269,0.0000060159,0.00003393835,0.00001078525,0.00001054231,0.00001184228],"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":[0.00003685983,0.000008795607,0.0001307355,0.00002330514,0.000003423545,0.0000347939,0.00001156873,0.000155453,0.9977977,0.0003372357,0.00009288706,0.001367234],"study_design_scores_gemma":[0.00004028473,0.0005024676,0.01587875,0.00004209614,0.00003094328,0.0003112537,0.00003690536,0.002516566,0.9700668,0.0009051337,0.009632356,0.00003645696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382402,0.002696591,0.03931632,0.0007311172,0.0001888137,0.0001760778,0.003435823,0.002062544,0.01315252],"genre_scores_gemma":[0.9617937,0.001322025,0.02123875,0.0002706864,0.00002329937,0.0002641082,0.001364335,0.0001819546,0.0135412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007306951,"threshold_uncertainty_score":0.01452887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226754989443201,"score_gpt":0.257706549614086,"score_spread":0.2454389997196539,"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."}}