{"id":"W2708074303","doi":"10.1037/pha0000130","title":"Using crowdsourcing to examine behavioral economic measures of alcohol value and proportionate alcohol reinforcement.","year":2017,"lang":"en","type":"article","venue":"Experimental and Clinical Psychopharmacology","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health; Peter Boris Centre for Addictions Research","keywords":"Alcohol Use Disorders Identification Test; Crowdsourcing; Psychology; PsycINFO; Audit; Reinforcement; Addiction; Alcohol; Clinical psychology; Medicine; Poison control; Social psychology; MEDLINE; Psychiatry; Injury prevention; Environmental health; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005414451,0.0002008472,0.0004225312,0.00009234639,0.0003797587,0.00003764084,0.0002431073,0.0001893247,0.001775262],"category_scores_gemma":[0.00001437363,0.0001950333,0.0001450021,0.00002479998,0.0005145784,0.0001585219,0.0001981512,0.0002462614,0.00005121523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005187839,"about_ca_system_score_gemma":0.00003315546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204019,"about_ca_topic_score_gemma":0.00002354177,"domain_scores_codex":[0.9978929,0.000151217,0.0009628143,0.00052613,0.0001027416,0.0003641866],"domain_scores_gemma":[0.9987299,0.00004628614,0.0004432875,0.0003502957,0.00003681919,0.0003934104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007960595,0.006287951,0.6194152,0.00008027828,0.000701646,0.0001215145,0.002470408,0.00005704503,0.2353476,0.007468785,0.00976146,0.1103274],"study_design_scores_gemma":[0.02623684,0.008678091,0.9186227,0.0002001018,0.0005184059,0.0001532809,0.001561142,0.0008498381,0.03383746,0.0002914309,0.007992506,0.001058144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930025,0.0005017749,0.00006570221,0.0003123165,0.002992536,0.0006468871,0.00002569025,0.0000233156,0.002429225],"genre_scores_gemma":[0.9979269,0.00002414095,0.0003622481,0.0005842816,0.0002826776,0.00008524418,0.000006406039,0.00002296198,0.0007051521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2992075,"threshold_uncertainty_score":0.9991372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2918330093790695,"score_gpt":0.5630655207461945,"score_spread":0.2712325113671251,"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."}}