{"id":"W19352180","doi":"","title":"Knowledge typology for imprecise probabilities.","year":2002,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Los Alamos National Laboratory; U.S. Department of Energy","keywords":"Typology; Computer science; Artificial intelligence; Sociology","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":[0.01365795,0.001304512,0.001361088,0.01415339,0.003966993,0.009443968,0.003249951,0.005633635,0.01476535],"category_scores_gemma":[0.05974911,0.0006450358,0.002225653,0.01007877,0.01645949,0.02530985,0.006421014,0.005645433,0.002254678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003940551,"about_ca_system_score_gemma":0.001583078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001306589,"about_ca_topic_score_gemma":0.0009043239,"domain_scores_codex":[0.979575,0.008546314,0.002561051,0.003139901,0.005259869,0.0009178515],"domain_scores_gemma":[0.9179117,0.05694973,0.005770394,0.01171839,0.006399206,0.001250592],"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":[0.00001008534,0.000007565687,0.0004465636,0.00007364702,0.00001433887,0.0001789477,0.0005343214,0.0005611941,0.00005217915,0.9899353,0.001130293,0.007055558],"study_design_scores_gemma":[0.00000761699,0.000008907219,0.0001877722,0.00009148434,0.00001390771,0.0005592459,0.0004032311,0.003052933,0.0001224781,0.9815251,0.01401057,0.00001679923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01682104,0.004550241,0.8092698,0.0100961,0.001062769,0.0003838914,0.001558438,0.0004677217,0.1557901],"genre_scores_gemma":[0.6874392,0.004944994,0.2780365,0.003730238,0.002412708,0.002789089,0.002188981,0.0002477642,0.01821047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01476535,"threshold_uncertainty_score":0.07223105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0281219037754282,"score_gpt":0.2494244694816402,"score_spread":0.221302565706212,"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."}}