{"id":"W2616453714","doi":"10.1007/s00213-017-4633-6","title":"Latent factor structure of a behavioral economic marijuana demand curve","year":2017,"lang":"en","type":"article","venue":"Psychopharmacology","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Homewood Research Institute; St. Joseph’s Healthcare Hamilton; McMaster University","funders":"National Institute on Drug Abuse; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Psychology; Craving; Latent variable model; Persistence (discontinuity); Cannabis; Latent variable; Clinical psychology; Econometrics; Statistics; Psychiatry; Addiction; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004049172,0.0007343692,0.0007325334,0.002096067,0.0007041784,0.002593367,0.001066949,0.001403777,0.01322366],"category_scores_gemma":[0.01485286,0.0006732123,0.001852339,0.001919067,0.001542295,0.002458702,0.001847465,0.002370474,0.001586925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002024401,"about_ca_system_score_gemma":0.001954314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995285,"about_ca_topic_score_gemma":0.01462861,"domain_scores_codex":[0.998028,0.0008697149,0.0001340401,0.0002891521,0.0003208862,0.0003581467],"domain_scores_gemma":[0.982851,0.01213714,0.001378474,0.001302676,0.001462075,0.0008686033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009164523,0.001447791,0.7702425,0.0001629732,0.0008044405,0.0003438106,0.003099993,0.07750041,0.002737526,0.08380689,0.004592035,0.05434516],"study_design_scores_gemma":[0.0001201211,0.0004778524,0.5926887,0.0001035371,0.0001688271,0.000191389,0.002874878,0.3520532,0.0004300967,0.04755612,0.003182989,0.0001522823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682875,0.00008816701,0.02392552,0.00118612,0.00002390466,0.0001826168,0.001900366,0.0001862873,0.004219415],"genre_scores_gemma":[0.9933229,0.00006050799,0.002182658,0.00002560176,0.00001417454,0.00008414726,0.00212035,0.00002962053,0.002159984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01995285,"threshold_uncertainty_score":0.04423749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04154067126721534,"score_gpt":0.3825094373422686,"score_spread":0.3409687660750533,"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."}}