{"id":"W2295452935","doi":"10.1017/cbo9780511791277.005","title":"Assigning probabilities","year":2005,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001331027,0.0003684052,0.0003459637,0.0001595806,0.0002075938,0.0001669529,0.001453007,0.000347527,0.000003346166],"category_scores_gemma":[0.000007252083,0.0004311245,0.0001861342,0.000009412734,0.0001790203,0.0002680408,0.0007186329,0.0005484333,0.00003891333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001994795,"about_ca_system_score_gemma":0.0002232247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004071856,"about_ca_topic_score_gemma":0.000001121023,"domain_scores_codex":[0.998406,0.00003733787,0.0002002057,0.0006983624,0.0003183704,0.000339703],"domain_scores_gemma":[0.9985145,0.00006699276,0.0001795173,0.0008691183,0.0001865192,0.0001833933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006000624,0.000005169496,2.954193e-7,0.00003413303,0.00003855025,0.00007692061,0.00007203453,0.00002329981,0.00001412078,0.9778055,0.01087643,0.01104753],"study_design_scores_gemma":[0.0002349973,0.00005699122,0.000002148016,0.0002294917,0.00005324842,0.00002409066,0.000009616578,0.005497009,0.0002211175,0.0004063937,0.9926139,0.0006510239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007837605,0.0001243906,0.2191738,0.00004290952,0.0001671375,0.0001670442,0.00002427696,0.0003729957,0.7799196],"genre_scores_gemma":[0.001492433,0.00004824917,0.007752019,0.0001089336,0.0001571468,7.479007e-7,0.000007769649,0.0000267798,0.9904059],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9817374,"threshold_uncertainty_score":0.999814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460262176463577,"score_gpt":0.2027035983867206,"score_spread":0.1681009766220848,"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."}}