{"id":"W1586636150","doi":"10.1017/cbo9780511794797.006","title":"Propositions and Inference","year":2010,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Falsity; Inference; Epistemology; A priori and a posteriori; Philosophy; Mathematical economics; Computer science; Mathematics","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":[0.00008986405,0.0002485187,0.0002173121,0.0001445131,0.0003657028,0.000144343,0.0007189704,0.0003368201,0.000001965471],"category_scores_gemma":[0.000008592699,0.0002848869,0.00006896681,0.000008101139,0.0001941269,0.0001753511,0.0005985437,0.0007363125,0.00001176195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003839866,"about_ca_system_score_gemma":0.0001504617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008061651,"about_ca_topic_score_gemma":0.000002440749,"domain_scores_codex":[0.9989986,0.00002338504,0.0001118086,0.0004812328,0.0001703918,0.0002146102],"domain_scores_gemma":[0.9988898,0.0001157973,0.0001367218,0.0005698917,0.000117064,0.0001707496],"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":[0.000005096759,0.00000305853,0.000004411079,0.0000376027,0.00002630418,0.000137122,0.00008009245,0.000001518571,0.0001062497,0.9944801,0.002649343,0.002469079],"study_design_scores_gemma":[0.0002493553,0.00006804643,0.00002374421,0.0002431033,0.0000637421,0.00004587021,0.000003810009,0.00103416,0.0004294736,0.0002415574,0.9970945,0.000502689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005112294,0.00009404892,0.0696673,0.0000636302,0.0001726882,0.0001903673,0.00006914465,0.0002384678,0.9294533],"genre_scores_gemma":[0.002421124,0.00003278039,0.008621604,0.0000790894,0.00005715378,5.052715e-7,0.00002021151,0.00001622203,0.9887513],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9944451,"threshold_uncertainty_score":0.9999603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814513347940552,"score_gpt":0.1976469248788372,"score_spread":0.1795017913994316,"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."}}