{"id":"W1483025447","doi":"10.48550/arxiv.1304.3082","title":"Reasoning With Uncertain Knowledge","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Reading and Literacy Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Set (abstract data type); Knowledge representation and reasoning; Cognition; Representation (politics); Descriptive knowledge; Knowledge management; Artificial intelligence; Cognitive science; Psychology; Programming language","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":[0.00581855,0.001461431,0.001395816,0.002839966,0.001729707,0.007228961,0.003200744,0.003329198,0.005483777],"category_scores_gemma":[0.02651107,0.001060401,0.002699753,0.002813116,0.004466813,0.01330234,0.005192776,0.00339959,0.000746146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002943893,"about_ca_system_score_gemma":0.001473656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006249939,"about_ca_topic_score_gemma":0.005650564,"domain_scores_codex":[0.9933819,0.002947911,0.0005420916,0.001079992,0.001655682,0.0003924751],"domain_scores_gemma":[0.9849455,0.0115151,0.0009499927,0.001382974,0.0008099615,0.0003964147],"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":[0.0001504761,0.0000502702,0.001609169,0.0005093823,0.0003209867,0.001433115,0.001074115,0.06604864,0.000504402,0.8887265,0.006033048,0.03353994],"study_design_scores_gemma":[0.0000318307,0.00001376079,0.0001569124,0.00008908285,0.0000582114,0.0002719174,0.0002388197,0.06749918,0.0003689474,0.9236416,0.0076071,0.00002256939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03787012,0.004781132,0.9090934,0.01641268,0.0003661962,0.000181735,0.001713959,0.0004133684,0.02916746],"genre_scores_gemma":[0.6509646,0.004736549,0.3322427,0.001303392,0.0008337646,0.0003275294,0.002504288,0.0000735053,0.007013774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007228961,"threshold_uncertainty_score":0.03077179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07325424360513454,"score_gpt":0.2309925669551686,"score_spread":0.1577383233500341,"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."}}