{"id":"W7094514032","doi":"","title":"Mandatory alcohol screening: policy brief.","year":2020,"lang":"en","type":"report","venue":"HRB National Drugs Library (Health Research Board)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanctions; Process (computing); Public policy; Policy learning; Driving under the influence","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":[0.009319218,0.001725201,0.0007794196,0.0024359,0.003565894,0.006002486,0.004287088,0.02809512,0.08397332],"category_scores_gemma":[0.02384963,0.001792158,0.000965255,0.002099229,0.001100735,0.003924998,0.002883269,0.01003808,0.04635716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01838239,"about_ca_system_score_gemma":0.1372014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4372809,"about_ca_topic_score_gemma":0.528867,"domain_scores_codex":[0.9930812,0.0007776275,0.0004862882,0.0004509216,0.003072352,0.002131718],"domain_scores_gemma":[0.9796348,0.004884937,0.001165326,0.0003130744,0.007557238,0.00644453],"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":[0.00001621651,0.00005948243,0.0001121184,0.00009576254,0.000001085002,0.0000580157,0.00003130006,0.00005746994,0.00004577417,0.001662856,0.9928335,0.005026499],"study_design_scores_gemma":[0.00008040885,0.00005095426,0.003246971,0.000418526,0.000007145531,0.00006932404,0.000204929,0.0001130672,0.0001318468,0.0008283769,0.9948126,0.00003577757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002724462,0.008134587,0.001052336,0.5757625,0.03636698,0.006018008,0.05774073,0.00165259,0.3105479],"genre_scores_gemma":[0.005028117,0.006024934,0.002105905,0.3960145,0.007674699,0.003937325,0.01636958,0.000180314,0.5626646],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4372809,"threshold_uncertainty_score":0.8694713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2422103067544688,"score_gpt":0.4665339580557701,"score_spread":0.2243236513013013,"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."}}