{"id":"W7098708023","doi":"","title":"www.mdpi.com/journal/ijerph An Exploratory Approach to Analyzing Alcohol Control Policy Opinions Held by Ontario Adults","year":2013,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latent class model; Multinomial logistic regression; Sample (material); Ambivalence; Alcohol; Homogeneous; Exploratory analysis; Control (management)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005236728,0.00009903517,0.00009879192,0.001275714,0.0009766263,0.0007123984,0.0002384658,0.000210558,0.01417994],"category_scores_gemma":[0.002019662,0.0001301184,0.00009144271,0.001776113,0.000589407,0.0003614994,0.000477832,0.0001297573,0.001727244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002338504,"about_ca_system_score_gemma":0.002811605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4562469,"about_ca_topic_score_gemma":0.7624086,"domain_scores_codex":[0.9996383,0.00006575442,0.00002069546,0.00003386759,0.0001553417,0.0000859371],"domain_scores_gemma":[0.9990263,0.0003012448,0.0003042123,0.00006019623,0.0002060926,0.0001019325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008592318,0.0001093202,0.8750198,0.0001912227,0.00001503756,0.0002645729,0.04878362,0.00006327819,0.00183173,0.0006158543,0.004342523,0.06867713],"study_design_scores_gemma":[0.000005892993,0.0000474913,0.9614841,0.00006933239,0.000006742788,0.0001157158,0.03042803,0.0001828272,0.0003858124,0.0001472126,0.007119475,0.0000074226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787946,0.0002561568,0.0007067268,0.0004918173,0.000007497606,0.000177601,0.003404392,0.00001667684,0.01614464],"genre_scores_gemma":[0.9877332,0.0006058534,0.001200288,0.0001643639,0.00001019573,0.0001911942,0.001044667,0.000006828708,0.009043287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5437531,"threshold_uncertainty_score":0.9071825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331497527705445,"score_gpt":0.219531424844436,"score_spread":0.2062164495673816,"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."}}