{"id":"W7033627749","doi":"","title":"31 See The World：Unstoppable - The Fentanyl Epidemic【31 看世界 : 芬太尼之禍】","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fentanyl; Set (abstract data type); Flood myth; Accidental","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":[0.001235689,0.0005067958,0.0002708435,0.0007717715,0.004709935,0.008338384,0.0005925473,0.007672454,0.2345696],"category_scores_gemma":[0.00627417,0.0002219736,0.0003837071,0.001202325,0.003168216,0.006047444,0.003742664,0.005338327,0.09189546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003298144,"about_ca_system_score_gemma":0.006362335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03238859,"about_ca_topic_score_gemma":0.04876779,"domain_scores_codex":[0.9990602,0.0001928302,0.00002734624,0.00008362877,0.0003652371,0.0002706979],"domain_scores_gemma":[0.9976713,0.0008357888,0.0001131077,0.0001287998,0.0006060812,0.0006448649],"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":[0.000008995308,0.00001517541,0.0001379712,0.00006753762,8.04977e-7,0.00009114576,0.0005228024,0.00002230943,0.0001192048,0.03054151,0.9485936,0.01987904],"study_design_scores_gemma":[0.000001827431,0.000004385452,0.0003320446,0.00006153507,6.695972e-7,0.00003418178,0.0004816155,0.00001574247,0.00006876553,0.002263552,0.99673,0.000005610127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007240839,0.00423945,0.0001673219,0.1031952,0.004478954,0.00002910329,0.0003510212,0.0001276802,0.8866871],"genre_scores_gemma":[0.009578674,0.004342323,0.0001591082,0.03076933,0.001517198,0.00003617036,0.0001762629,0.0001385399,0.9532823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2345696,"threshold_uncertainty_score":0.7847136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767031949763737,"score_gpt":0.2178086234086855,"score_spread":0.1901383039110481,"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."}}