{"id":"W3036080139","doi":"","title":"Visualizing Unquantifiable Uncertainty in Drug Checking Test Results","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Visualization; Space (punctuation); Test (biology); Harm; Harm reduction; Data science; Risk analysis (engineering); Data mining; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00349067,0.001132248,0.0009040853,0.005101762,0.0003374139,0.003785107,0.0007282322,0.001404731,0.003947341],"category_scores_gemma":[0.02498976,0.0003798105,0.0005594467,0.002673185,0.0005297372,0.001943955,0.001445066,0.001096639,0.0004560431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165988,"about_ca_system_score_gemma":0.00131911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005489433,"about_ca_topic_score_gemma":0.003517507,"domain_scores_codex":[0.998082,0.0004782067,0.0001462742,0.0002904159,0.000861147,0.0001419384],"domain_scores_gemma":[0.972991,0.02099906,0.002011357,0.001162912,0.002363908,0.0004718116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003620168,0.0002819985,0.08583717,0.001970934,0.0003708144,0.002472842,0.002275627,0.4750437,0.04118991,0.02937895,0.02605528,0.3315026],"study_design_scores_gemma":[0.00005554664,0.0001781703,0.02008459,0.000194899,0.0001148831,0.0005985077,0.0004917267,0.9012106,0.02014202,0.04531326,0.01152803,0.00008772431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.524641,0.008659946,0.4116825,0.006373032,0.0004758416,0.0001933096,0.02044157,0.01776039,0.009772252],"genre_scores_gemma":[0.9335101,0.0009626313,0.06089499,0.0002378483,0.0001785279,0.00005050814,0.002674387,0.0004907963,0.001000292],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005489433,"threshold_uncertainty_score":0.01846063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468441077023604,"score_gpt":0.2797466382402639,"score_spread":0.2550622274700278,"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."}}