{"id":"W2741015525","doi":"10.1177/1059712317719967","title":"On the statistical properties of operant settings and their contribution to the evaluation of sensitivity to reinforcement","year":2017,"lang":"en","type":"article","venue":"Adaptive Behavior","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Reinforcement; Null hypothesis; Matching law; Variance (accounting); Matching (statistics); Operant conditioning; Sensitivity (control systems); Statistical hypothesis testing; Function (biology); Null (SQL); Psychology; Test (biology); Reinforcement learning; Subject (documents); Computer science; Cognitive psychology; Artificial intelligence; Econometrics; Social psychology; Mathematics; Statistics; 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":[0.06205835,0.000709802,0.001214997,0.002774502,0.0007086033,0.002934064,0.001556056,0.001858926,0.002914796],"category_scores_gemma":[0.2867956,0.0005948259,0.001346067,0.001712325,0.01093625,0.004478616,0.00276069,0.003061,0.0002344828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008405373,"about_ca_system_score_gemma":0.0008387291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006313397,"about_ca_topic_score_gemma":0.0004214676,"domain_scores_codex":[0.9599391,0.02732117,0.00161195,0.003419732,0.007183291,0.0005247558],"domain_scores_gemma":[0.4863421,0.4629905,0.02032217,0.0249391,0.003923566,0.001482511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001831798,0.0007010266,0.2282778,0.0009932764,0.001125307,0.0007327223,0.003790381,0.09157152,0.03394994,0.4308819,0.0007982227,0.2053461],"study_design_scores_gemma":[0.00008195457,0.002508976,0.245479,0.0002032292,0.0002657092,0.001390368,0.0008228981,0.2881885,0.0165679,0.4422607,0.001895282,0.0003355984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4088208,0.0007383571,0.577185,0.001009086,0.0000813204,0.0002828333,0.0001501638,0.0002933301,0.01143899],"genre_scores_gemma":[0.9603177,0.0001889612,0.03852557,0.0001821704,0.0001007966,0.0001560449,0.00008024312,0.00009389086,0.0003547715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06205835,"threshold_uncertainty_score":0.3281998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3099714833794058,"score_gpt":0.390294643333961,"score_spread":0.08032315995455519,"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."}}