{"id":"W4399649107","doi":"10.32614/cran.package.oralopioids","title":"OralOpioids: Retrieving Oral Opioid Information","year":2023,"lang":"en","type":"dataset","venue":"","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada","keywords":"Opioid; Computer science; Information retrieval; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001047225,0.002115417,0.001267578,0.002444229,0.0006321585,0.001750728,0.002850248,0.002306205,0.03577527],"category_scores_gemma":[0.005941114,0.0007020246,0.001645762,0.004475107,0.0003847712,0.001648462,0.001317031,0.001792792,0.05850613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903979,"about_ca_system_score_gemma":0.002550357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04567223,"about_ca_topic_score_gemma":0.07239226,"domain_scores_codex":[0.9989343,0.0001563606,0.0001835501,0.0003318033,0.0002591747,0.0001349072],"domain_scores_gemma":[0.9979983,0.0004855734,0.0002739831,0.0005046009,0.0005581622,0.0001792866],"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":[0.0002015506,0.00006447452,0.002967622,0.0008314939,0.00006936534,0.00004052857,0.00002346043,0.0007207948,0.0002048093,0.0004250427,0.9902744,0.004176268],"study_design_scores_gemma":[0.0006147177,0.00006495236,0.01503517,0.0004502974,0.00009218202,0.0001790176,0.0001101665,0.00230484,0.001052914,0.001655039,0.9783667,0.00007394527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0002771784,0.00006735461,0.00008461044,0.00007114234,0.00001677536,0.00001118467,0.9986564,0.0003137382,0.0005015114],"genre_scores_gemma":[0.0004590606,0.00004826306,0.0002412233,0.00004351568,0.000003440721,0.00002852592,0.9988303,0.00002747409,0.0003182629],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04567223,"threshold_uncertainty_score":0.1196802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163849099219471,"score_gpt":0.2900017028550365,"score_spread":0.2683632118628417,"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."}}