{"id":"W364212496","doi":"10.12794/metadc12087","title":"Interactions of equivalence and other behavioral relations: Simple successive discrimination training.","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Affairs Canada","funders":"","keywords":"Simple (philosophy); Equivalence (formal languages); Equivalence relation; Psychology; Mathematics; Training (meteorology); Cognitive psychology; Artificial intelligence; Computer science; Pure mathematics; Epistemology; Physics; Philosophy","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":[0.0007722015,0.0003711046,0.0003485722,0.0002096041,0.0001568761,0.0003496897,0.0004049879,0.0003433311,0.003463415],"category_scores_gemma":[0.004386181,0.0002277302,0.0002401551,0.0001431355,0.0006276297,0.000639476,0.0005180481,0.001087342,0.0001972029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003507367,"about_ca_system_score_gemma":0.0002927073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006295702,"about_ca_topic_score_gemma":0.001001728,"domain_scores_codex":[0.9994417,0.0001752255,0.00003096403,0.0001356389,0.000166694,0.00004977276],"domain_scores_gemma":[0.9971318,0.001827934,0.0004384221,0.0002851942,0.00006565607,0.0002509992],"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":[0.005407387,0.004750741,0.003287884,0.0002192117,0.00004801153,0.0001010173,0.0004033926,0.0007072725,0.9403217,0.00186041,0.0002377239,0.04265528],"study_design_scores_gemma":[0.001484191,0.04788435,0.289371,0.0001126937,0.0003384311,0.0008059829,0.0003286264,0.0240394,0.6189572,0.0116933,0.004861494,0.0001233332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935384,0.0001082098,0.002660336,0.00008064616,0.00002951125,0.00007488021,0.00003551517,0.00004517433,0.003427238],"genre_scores_gemma":[0.994508,0.0001096397,0.004110761,0.00008657978,0.00001618853,0.00007154746,0.0000456478,0.00002386386,0.001027744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003463415,"threshold_uncertainty_score":0.01158631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3019627565964371,"score_gpt":0.4570999730785681,"score_spread":0.1551372164821311,"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."}}