{"id":"W2521607795","doi":"10.1002/jeab.221","title":"Syntax for calculation of discounting indices from the monetary choice questionnaire and probability discounting questionnaire","year":2016,"lang":"en","type":"article","venue":"Journal of the Experimental Analysis of Behavior","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Homewood Research Institute; St. Joseph’s Healthcare Hamilton","funders":"National Institute on Drug Abuse; National Institutes of Health","keywords":"Discounting; Syntax; Delay discounting; Psychology; Computer science; Econometrics; Statistics; Natural language processing; Mathematics; Economics","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":[0.008176985,0.002410824,0.00165656,0.003334046,0.000529621,0.0020537,0.001772528,0.0008573989,0.2428524],"category_scores_gemma":[0.07336468,0.001283497,0.002138365,0.002885425,0.0004629913,0.002070114,0.001859422,0.002989736,0.0779683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009779106,"about_ca_system_score_gemma":0.001663359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603739,"about_ca_topic_score_gemma":0.001790743,"domain_scores_codex":[0.9944736,0.001930865,0.001567937,0.0006730828,0.001110598,0.0002439303],"domain_scores_gemma":[0.9465303,0.04014856,0.002894626,0.003499538,0.006493122,0.0004338017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002459563,0.0006758183,0.008647149,0.002679481,0.0002694066,0.0003643648,0.001074511,0.003144962,0.002831823,0.01303687,0.6266817,0.3381343],"study_design_scores_gemma":[0.001866548,0.0009416339,0.04426226,0.001944279,0.0004135016,0.001007417,0.0009271617,0.02320199,0.01560515,0.06927237,0.8399003,0.0006573533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.02047139,0.000686612,0.3635351,0.001525384,0.001589709,0.01197189,0.4489211,0.118929,0.03236986],"genre_scores_gemma":[0.05246826,0.0007179418,0.6747761,0.001307379,0.0003947462,0.04827823,0.1429444,0.04962929,0.02948373],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2428524,"threshold_uncertainty_score":0.8124221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06276410873205995,"score_gpt":0.3824356954322936,"score_spread":0.3196715867002336,"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."}}