{"id":"W2018821785","doi":"10.1007/s40614-014-0025-y","title":"A General Methodology for the Translation of Behavioral Terms into Vernacular Languages","year":2015,"lang":"en","type":"article","venue":"The Behavior Analyst","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"University of Auckland","keywords":"Glossary; Vernacular; Computer science; Set (abstract data type); Field (mathematics); Natural language processing; Certification; Linguistics; The Internet; Inclusion (mineral); Artificial intelligence; World Wide Web; Psychology; Political science; Social psychology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001057088,0.0001860371,0.0003521356,0.00005060494,0.0001815498,0.00001685397,0.0004853731,0.0001455393,0.0002600619],"category_scores_gemma":[0.00001822711,0.00009103636,0.0003022878,0.000237944,0.0003517406,0.00003816043,0.00004629582,0.0001854063,0.00002802281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002452723,"about_ca_system_score_gemma":0.000009965495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004373619,"about_ca_topic_score_gemma":0.0005399188,"domain_scores_codex":[0.9984581,0.0003993865,0.0003736362,0.0002761455,0.00021352,0.0002792379],"domain_scores_gemma":[0.9988971,0.0002609252,0.0001671149,0.0005019666,0.0001037316,0.00006918693],"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":[0.001303913,0.001833742,0.1898138,0.00001909278,0.0005775029,0.00006681572,0.03677286,0.00004361744,0.0316948,0.006319083,0.009788062,0.7217667],"study_design_scores_gemma":[0.005310888,0.002571731,0.9117565,0.00001974182,0.007717743,0.0001169085,0.02544069,0.00007376677,0.003492712,0.00349292,0.03911982,0.000886537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903741,0.003254548,0.003229983,0.0008608763,0.0006115857,0.0008675342,0.00006090104,0.0000488646,0.0006915793],"genre_scores_gemma":[0.9954636,0.00001766125,0.002285355,0.0001412607,0.0002090879,0.0008407812,0.00003240924,0.00001957066,0.000990296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7219427,"threshold_uncertainty_score":0.6611633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5557583824156854,"score_gpt":0.4927518966889555,"score_spread":0.0630064857267299,"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."}}