{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008286464,0.00007405858,0.00006681243,0.00002645107,0.00007650677,0.0001130177,0.0004074428,0.00003461024,0.00006064532],"category_scores_gemma":[0.00001891172,0.00005665359,0.00002053574,0.000241142,0.00002494828,0.000139994,0.00008256037,0.00005478747,0.0002604515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001392827,"about_ca_system_score_gemma":0.0000340307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002603988,"about_ca_topic_score_gemma":0.00010632,"domain_scores_codex":[0.9993531,0.00001195616,0.0001157987,0.000230207,0.0001122012,0.0001767521],"domain_scores_gemma":[0.9995355,0.00003380436,0.00002004999,0.0003009862,0.00007538306,0.00003424911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.680794e-7,0.00004000051,0.0001203007,0.000005520832,9.616884e-7,0.000004000542,0.00001494071,0.004214955,0.0000323554,0.9895769,0.004296996,0.001692683],"study_design_scores_gemma":[0.00007219329,0.00002738728,0.0007918898,0.000005881835,0.000001284119,0.000008680515,0.000001249372,0.5350049,0.0000502796,0.4616323,0.002282855,0.0001211201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009325506,0.00002889122,0.9502308,0.00249124,0.00009256109,0.00005025363,2.044243e-7,0.0002756996,0.04589776],"genre_scores_gemma":[0.8245923,0.000001233068,0.1727924,0.000435822,0.00006347438,0.000008589684,7.863377e-7,0.000003168043,0.002102261],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8236597,"threshold_uncertainty_score":0.3347664,"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."}}