{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008750868,0.0002302657,0.0003356267,0.0001363298,0.0001296325,0.00002095816,0.0001293481,0.0002602634,0.005782029],"category_scores_gemma":[0.00002479541,0.0001828967,0.0001044684,0.0001624334,0.00009036789,0.0001053973,0.00001266583,0.0003103777,0.00005308097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002123034,"about_ca_system_score_gemma":0.00001179197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008539108,"about_ca_topic_score_gemma":0.002318131,"domain_scores_codex":[0.9987484,0.00007261575,0.0004410099,0.0003845297,0.0001513426,0.0002021466],"domain_scores_gemma":[0.9991972,0.0001162126,0.0003403877,0.0001808631,0.0001108378,0.00005450311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004361983,0.001593629,0.01518163,0.00006379589,0.0001438649,0.00001957209,0.04758099,8.476735e-7,0.001111818,0.0303133,0.01031438,0.89324],"study_design_scores_gemma":[0.0005938629,0.0007018395,0.9432956,0.0001871917,0.0004314643,0.00001132926,0.03849539,0.00000318468,0.0001244276,0.006623437,0.009035434,0.0004968479],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8278562,0.0007965798,0.00008885199,0.0001397315,0.0007497586,0.0003209212,0.00009727352,0.00006456919,0.1698861],"genre_scores_gemma":[0.9547587,0.00002595127,0.0001503966,0.00008865602,0.00007336016,0.0000926748,0.0003442766,0.0000184028,0.04444756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.928114,"threshold_uncertainty_score":0.9951268,"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."}}