{"id":"W2750039849","doi":"","title":"Subject Guides: z Hot Topic: Opioid Epidemic: Home","year":2017,"lang":"en","type":"libguides","venue":"","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Opioid epidemic; Computer science; Opioid; Medicine; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007046178,0.000948826,0.001061468,0.003810446,0.001713046,0.003829124,0.001039945,0.002435048,0.5777097],"category_scores_gemma":[0.008110856,0.0005322851,0.0008354138,0.003138077,0.0006972131,0.003330652,0.002972592,0.001619468,0.3915182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829346,"about_ca_system_score_gemma":0.004900644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01161827,"about_ca_topic_score_gemma":0.03739904,"domain_scores_codex":[0.9993854,0.00008445093,0.00007567446,0.00004250775,0.000279134,0.0001329276],"domain_scores_gemma":[0.9923964,0.001214863,0.0005637932,0.0001767289,0.002909326,0.002738823],"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":[0.000005109657,0.000007798552,0.00007254635,0.000113276,2.904236e-7,0.000008986656,0.00002076974,0.000005738628,0.00001181024,0.00007655563,0.9903871,0.009289922],"study_design_scores_gemma":[0.00003054457,0.00001510014,0.0014983,0.0004154414,0.000002032544,0.00006366777,0.0001984271,0.0000235405,0.0000418572,0.0004625708,0.9972408,0.000007814419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001245675,0.005286613,0.001170285,0.0356124,0.02275371,0.002718461,0.09637312,0.005314966,0.8295248],"genre_scores_gemma":[0.004669843,0.007919201,0.002668429,0.02151236,0.01500857,0.002697209,0.03562674,0.002409035,0.9074886],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5777097,"threshold_uncertainty_score":0.6023458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03886080858706798,"score_gpt":0.3302667071920909,"score_spread":0.2914058986050229,"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."}}