{"id":"W1972149806","doi":"10.1177/10983007060080030401","title":"Contingency Mapping","year":2006,"lang":"en","type":"article","venue":"Journal of Positive Behavior Interventions","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Contingency; Contingency management; Psychology; Intervention (counseling); Autism; Contingency table; Developmental psychology; Multiple baseline design; Applied behavior analysis; Computer science; Psychiatry; Machine learning","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":[0.0003021619,0.0001316127,0.0002733286,0.0001631408,0.0001344356,0.0000324773,0.0001903345,0.00008521751,0.002897561],"category_scores_gemma":[0.00001417879,0.0001025277,0.0007756788,0.0001812822,0.0001019679,0.0001055406,0.0000363566,0.0003057463,0.0001357635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004584381,"about_ca_system_score_gemma":0.000005652421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001556854,"about_ca_topic_score_gemma":0.00002967867,"domain_scores_codex":[0.9985256,0.00013112,0.0008114096,0.000139283,0.0001652808,0.0002273125],"domain_scores_gemma":[0.9989479,0.00004853657,0.0005284161,0.0001074838,0.0003049743,0.00006264784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001793515,0.01000798,0.7929424,0.00002550576,0.0003769576,0.001714441,0.001500546,0.000001217914,0.01504081,0.02405476,0.05690167,0.09725437],"study_design_scores_gemma":[0.0006161827,0.0004993912,0.994115,0.0001735246,0.0002464185,0.0003212861,0.00072644,4.563328e-8,0.0001792689,0.0005278321,0.002475637,0.0001189862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773452,0.002210198,0.002896484,0.0003746984,0.001790436,0.0001588044,0.00004203923,0.00002265353,0.01515952],"genre_scores_gemma":[0.9940572,0.000006569743,0.0006021364,0.00004858442,0.000335239,0.0000266585,0.000005519451,0.00001101184,0.004907046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2011726,"threshold_uncertainty_score":0.9980139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2619403200943169,"score_gpt":0.4118085681379963,"score_spread":0.1498682480436794,"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."}}