{"id":"W3010656855","doi":"10.1142/9789811232701_0019","title":"ParKCa: Causal Inference with Partially Known Causes","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Inference; Causal inference; Artificial intelligence; Econometrics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006974224,0.001335714,0.001682396,0.003404767,0.001863936,0.003180507,0.003842038,0.00191493,0.03184271],"category_scores_gemma":[0.04231344,0.00164244,0.003780014,0.003085551,0.002053774,0.006975112,0.004128281,0.005230387,0.003444544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320326,"about_ca_system_score_gemma":0.003794081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005335654,"about_ca_topic_score_gemma":0.007523356,"domain_scores_codex":[0.9942212,0.003144143,0.0002706057,0.00110891,0.001066557,0.0001885801],"domain_scores_gemma":[0.9742415,0.01962331,0.0007437322,0.003938482,0.001198646,0.0002543115],"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":[0.0002147192,0.00008637876,0.001347132,0.0005890242,0.0003882708,0.0002643578,0.0002719541,0.02205263,0.0003783863,0.813981,0.02746692,0.1329594],"study_design_scores_gemma":[0.00009925628,0.00001618799,0.0001861838,0.00007887144,0.0001590366,0.0001079374,0.00003566818,0.1188994,0.000751021,0.8641377,0.01550853,0.000020211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001289855,0.000392486,0.9903419,0.0008459762,0.0001649985,0.00008281055,0.0008891507,0.00207993,0.003912937],"genre_scores_gemma":[0.1544114,0.001182324,0.8261793,0.000928366,0.0007063033,0.0005834993,0.00299546,0.0009445484,0.01206891],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03184271,"threshold_uncertainty_score":0.1065245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1931766200752879,"score_gpt":0.401573362329314,"score_spread":0.2083967422540261,"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."}}