{"id":"W2341237175","doi":"10.1177/002204260003000102","title":"Developing Computer Assisted Interviewing (CAI) for the National Household Survey on Drug Abuse","year":2000,"lang":"en","type":"article","venue":"Journal of Drug Issues","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interview; Substance abuse; Quarter (Canadian coin); Data collection; Psychology; Scope (computer science); Medical education; Medicine; Computer science; Political science; Psychiatry; Sociology; Geography; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0496466,0.00009955939,0.0002445773,0.0001059263,0.0005416634,0.00009447012,0.000434455,0.00006293793,0.0001779075],"category_scores_gemma":[0.003962395,0.00006730003,0.0001449639,0.0002271186,0.0001322081,0.0002027468,0.00001021473,0.0002321545,0.00001291923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089736,"about_ca_system_score_gemma":0.000220007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004218516,"about_ca_topic_score_gemma":0.00161159,"domain_scores_codex":[0.9905636,0.008249851,0.000403341,0.0001126595,0.0004634475,0.0002071138],"domain_scores_gemma":[0.9737684,0.02547773,0.0002351538,0.00007206979,0.0003880719,0.00005864381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.01668699,0.0006432172,0.0386953,0.00005266225,0.001230019,0.00005987876,0.3368776,0.003044533,0.000165105,0.002500901,0.3532504,0.2467934],"study_design_scores_gemma":[0.00069722,0.00006669226,0.6220242,0.0001940434,0.00002840496,0.00001144819,0.001734,0.00007902055,0.0004898905,0.000755139,0.373733,0.0001869635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843998,0.0009237037,0.002740165,0.01009897,0.001269546,0.0001612963,0.00001880655,0.00002358581,0.0003641439],"genre_scores_gemma":[0.9583802,0.001454679,0.02834776,0.003722578,0.0024721,0.000006910862,0.000005125763,0.0000266587,0.005584028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5833289,"threshold_uncertainty_score":0.9785888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4479065813256019,"score_gpt":0.4782133248228782,"score_spread":0.0303067434972763,"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."}}