{"id":"W265864375","doi":"","title":"Relational logistic regression: the directed analog of Markov logic networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Markov chain; Mathematics; Markov process; Formalism (music); Logistic regression; Conditional probability; Artificial intelligence; Computer science; Theoretical computer science; Statistics","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":[0.000443437,0.00008178192,0.0001098309,0.00002875097,0.00009911252,0.00003409475,0.0005466231,0.00006249401,0.00005880571],"category_scores_gemma":[0.0001314909,0.00004363813,0.00004123951,0.0002739526,0.00008441023,0.00008380654,0.0001299152,0.0001374675,0.00001354006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007503791,"about_ca_system_score_gemma":0.00002656433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000265266,"about_ca_topic_score_gemma":0.000008573528,"domain_scores_codex":[0.999143,0.0001429178,0.0001902828,0.0001984366,0.0001806285,0.0001447321],"domain_scores_gemma":[0.9989504,0.0003780575,0.00008969651,0.0004337112,0.0001051151,0.0000430465],"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":[0.000004390095,0.00002428863,0.0006781578,0.00000317562,0.000007682782,0.000001006909,0.00003666559,0.01147181,0.00004934701,0.9554511,0.005037259,0.02723506],"study_design_scores_gemma":[0.00006076969,0.00003342815,0.008703846,0.00001877382,0.000003491089,0.000004940826,0.000001763108,0.9404135,0.00003084574,0.05034765,0.0003141787,0.00006682624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003814459,0.0001051966,0.9802853,0.001369675,0.0001696357,0.00003830926,3.580719e-7,0.0001289664,0.01752107],"genre_scores_gemma":[0.944463,0.00001529142,0.05431328,0.0004967495,0.00005888224,0.000003239224,0.000002673549,0.00000266709,0.000644283],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9440815,"threshold_uncertainty_score":0.1779511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05719676842597779,"score_gpt":0.2699825525369374,"score_spread":0.2127857841109596,"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."}}