{"id":"W4283691318","doi":"10.1109/mpot.2022.3168996","title":"Epic product fails of history","year":2022,"lang":"en","type":"article","venue":"IEEE Potentials","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forces College","funders":"","keywords":"EPIC; Mistake; Focus (optics); Product (mathematics); History; Aesthetics; Computer science; Internet privacy; Literature; Political science; Art; Law","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":[0.004357439,0.0005310086,0.0003263462,0.001496491,0.005577867,0.006407281,0.001042938,0.002717418,0.03458973],"category_scores_gemma":[0.01285838,0.0003555442,0.0003584064,0.001518624,0.006911454,0.008687411,0.004807749,0.0041325,0.008697111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003828361,"about_ca_system_score_gemma":0.002415203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004590786,"about_ca_topic_score_gemma":0.004970945,"domain_scores_codex":[0.9957442,0.001009285,0.0001509639,0.0003836569,0.002227859,0.0004840151],"domain_scores_gemma":[0.9943588,0.001784404,0.000435341,0.001026453,0.001726488,0.0006684501],"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":[0.0001457478,0.00005467108,0.006287067,0.0003500309,0.00002566346,0.00453909,0.031758,0.0003503819,0.0008706421,0.4061852,0.4463052,0.1031283],"study_design_scores_gemma":[0.000003378222,0.00005014962,0.001222592,0.00016606,0.00000753111,0.0012972,0.002764325,0.000113648,0.0003660524,0.008373393,0.9856188,0.00001710241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05676158,0.007868074,0.005726721,0.06391193,0.003136842,0.00006834487,0.0003277642,0.0005901129,0.8616086],"genre_scores_gemma":[0.5271887,0.005617125,0.00309493,0.0288583,0.001219427,0.00008289729,0.0004382365,0.0007443543,0.4327561],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03458973,"threshold_uncertainty_score":0.1157142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851892979454388,"score_gpt":0.2330422542357084,"score_spread":0.2145233244411645,"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."}}