{"id":"W2059171997","doi":"10.1109/nafips.2006.365433","title":"First Order Probabilistic Logic","year":2006,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Concordia University","funders":"","keywords":"Probabilistic logic; Computer science; Order (exchange); Artificial intelligence","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":[0.004496971,0.0008533684,0.001123751,0.002109148,0.002191998,0.00426969,0.001643905,0.002356929,0.005446918],"category_scores_gemma":[0.008698456,0.0006264168,0.001310134,0.00260991,0.00674125,0.007812828,0.002214301,0.004334761,0.002013644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005799867,"about_ca_system_score_gemma":0.002531023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004393911,"about_ca_topic_score_gemma":0.00296051,"domain_scores_codex":[0.9975404,0.0008677022,0.0001274844,0.0005291695,0.0007508448,0.0001844527],"domain_scores_gemma":[0.9961479,0.00260103,0.0002025501,0.0003203031,0.0006306303,0.00009755026],"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":[0.00001492084,0.000003657856,0.00006192048,0.00002463489,0.000005812424,0.00003632207,0.00009620019,0.001362051,0.00004471997,0.9883747,0.001366115,0.008609015],"study_design_scores_gemma":[0.000006812003,0.000007802571,0.00003253084,0.00002420654,0.000005336252,0.00005283868,0.00001740093,0.00501561,0.00021006,0.9702983,0.02432032,0.000008932554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01318664,0.02795241,0.8047517,0.02287335,0.001639461,0.0001010299,0.0005227883,0.0004999588,0.1284726],"genre_scores_gemma":[0.4837875,0.01138378,0.4212146,0.007094991,0.002984745,0.0002677982,0.0004757693,0.000318978,0.07247176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005799867,"threshold_uncertainty_score":0.04208124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237752762834033,"score_gpt":0.2346424936177912,"score_spread":0.2122649659894509,"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."}}