{"id":"W1555963762","doi":"10.1007/978-3-540-27764-4_10","title":"Probabilistic Predicative Programming","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Predicative expression; Probabilistic logic; Computer science; Programming language; Artificial intelligence; Linguistics; Philosophy","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":[0.001310132,0.0006795997,0.000663401,0.0008543301,0.001294993,0.003567735,0.001105892,0.0009491353,0.01692714],"category_scores_gemma":[0.003750561,0.0006016108,0.0007120601,0.001376457,0.002806143,0.004933732,0.001731947,0.003070073,0.003459425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298885,"about_ca_system_score_gemma":0.0006899287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007695052,"about_ca_topic_score_gemma":0.0009856011,"domain_scores_codex":[0.9988554,0.0003480633,0.00004804613,0.0002709213,0.0004044353,0.00007310206],"domain_scores_gemma":[0.9987487,0.0006649094,0.00005768297,0.0002719829,0.0001915198,0.00006518582],"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":[0.000008096372,0.000008310937,0.00008139195,0.00002060248,0.00000558513,0.00001142709,0.00005057849,0.0008731278,0.0001028709,0.9778295,0.004711834,0.01629674],"study_design_scores_gemma":[0.000002355339,0.000002475753,0.0000593255,0.00001040678,0.000003950669,0.00003047345,0.00001160347,0.003475913,0.0001417477,0.9805163,0.01574193,0.000003593984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008245512,0.004995064,0.6970688,0.005580183,0.0005134206,0.00004638578,0.000469014,0.001001903,0.2820799],"genre_scores_gemma":[0.6037545,0.005510282,0.2130767,0.001681276,0.001793776,0.0002204196,0.001384454,0.0007718312,0.1718068],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01692714,"threshold_uncertainty_score":0.05662686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047373738621193,"score_gpt":0.2472279626920401,"score_spread":0.2267542253058281,"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."}}