{"id":"W2971298513","doi":"","title":"OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis.","year":2018,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Probabilistic logic; Opera; Computer science; Artificial intelligence; Art; Art history","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01006382,0.001958892,0.001693311,0.005221374,0.001636139,0.00847736,0.003993894,0.001641373,0.01789579],"category_scores_gemma":[0.02961891,0.001303821,0.003630216,0.005246406,0.003044102,0.01199449,0.007541271,0.003899728,0.009298057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729173,"about_ca_system_score_gemma":0.004774681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004092444,"about_ca_topic_score_gemma":0.003913299,"domain_scores_codex":[0.9914482,0.002301402,0.001023792,0.0009297534,0.003876086,0.0004208537],"domain_scores_gemma":[0.9844134,0.00872343,0.0007694389,0.003449935,0.002076111,0.0005677319],"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":[0.0006654167,0.0003195461,0.002237429,0.001695232,0.00035568,0.0004470235,0.0006982651,0.009885994,0.003156277,0.469532,0.1275994,0.3834077],"study_design_scores_gemma":[0.00007949754,0.00007831567,0.0009844841,0.0003718401,0.0001549366,0.0004338699,0.0002830359,0.09885197,0.006304269,0.7708254,0.1215459,0.00008633196],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0022816,0.001655526,0.9581595,0.001945182,0.0003676876,0.0005268574,0.004796362,0.02056281,0.009704409],"genre_scores_gemma":[0.07197579,0.00221418,0.8990834,0.001172071,0.0006918309,0.001235242,0.01212553,0.00259878,0.008903301],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01789579,"threshold_uncertainty_score":0.05986738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03619013756794356,"score_gpt":0.374209326811938,"score_spread":0.3380191892439944,"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."}}