{"id":"W4205844968","doi":"10.31234/osf.io/scg59","title":"The Emperor Has No Blanket!","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Charles Phelps Taft Research Center; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; University of Cincinnati","keywords":"Emperor; Blanket; Construct (python library); Work (physics); Computer science; History; Engineering; Archaeology; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00572332,0.001310843,0.001610912,0.001298821,0.004212896,0.006290537,0.002095745,0.006645087,0.04066272],"category_scores_gemma":[0.04054854,0.0007773771,0.001263198,0.0008100654,0.008724814,0.02336993,0.00508705,0.01307391,0.01965984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002310391,"about_ca_system_score_gemma":0.001104893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004498645,"about_ca_topic_score_gemma":0.00415205,"domain_scores_codex":[0.9969406,0.00108929,0.0001239631,0.0008759386,0.0007191919,0.0002509996],"domain_scores_gemma":[0.9919252,0.003544153,0.0004813051,0.001880427,0.001370958,0.0007979905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001722003,0.00003418,0.0004824142,0.000103482,0.0000490944,0.0002130287,0.0006343017,0.0003684048,0.0002592438,0.7007011,0.2633253,0.03365731],"study_design_scores_gemma":[0.00002781672,0.00002897276,0.0002610345,0.0001712922,0.00001404495,0.0002926385,0.0003354076,0.001012519,0.0004132264,0.6005702,0.39681,0.00006281196],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.007850051,0.02406278,0.1120959,0.6635748,0.04202243,0.00004683601,0.001033676,0.002296371,0.1470172],"genre_scores_gemma":[0.2704453,0.01126851,0.07778453,0.1792021,0.02269017,0.0002447981,0.001278331,0.005391394,0.4316949],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04066272,"threshold_uncertainty_score":0.1360304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04100523760294035,"score_gpt":0.2899730330086224,"score_spread":0.248967795405682,"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."}}