{"id":"W4255418327","doi":"10.1515/iupac.87.0628","title":"Stimulus, Conditioned","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Psychology; Relation (database); Cognitive science; Neuroscience; Computer science; Linguistics; Philosophy; Data mining","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":[0.0007284387,0.001409281,0.001077057,0.001774764,0.0009067109,0.002757185,0.001703145,0.001449307,0.2570097],"category_scores_gemma":[0.01122397,0.0004120709,0.001339523,0.002770133,0.0004597199,0.002622623,0.001853443,0.001585468,0.1586559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156304,"about_ca_system_score_gemma":0.001920549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01456393,"about_ca_topic_score_gemma":0.02589656,"domain_scores_codex":[0.9988024,0.0001958027,0.0001946085,0.0004139075,0.0002330556,0.0001603414],"domain_scores_gemma":[0.9973682,0.001035045,0.0002706271,0.0006109695,0.0005507697,0.0001644838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004503402,0.00004661749,0.004408265,0.002087096,0.00005749788,0.00005496205,0.00005048409,0.0003445306,0.000195584,0.001889957,0.9685707,0.02184401],"study_design_scores_gemma":[0.0001996185,0.00003811809,0.007188581,0.0005696678,0.00004077597,0.0001045796,0.0001141807,0.0003067042,0.0002560572,0.003518353,0.9876302,0.000033134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000636096,0.0003361424,0.0002993523,0.0002204696,0.0001913366,0.00006539943,0.9891845,0.0006647377,0.008401951],"genre_scores_gemma":[0.005411447,0.0005729251,0.001335349,0.0007276292,0.00008830781,0.0003936057,0.9795129,0.000314132,0.01164378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2570097,"threshold_uncertainty_score":0.8597832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108765661189268,"score_gpt":0.3729473023044694,"score_spread":0.3618596456925767,"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."}}