{"id":"W1486318824","doi":"","title":"Factual causation and healthcare-associated infections.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Scrutiny; Causation; Health care; Liability; Harm; Object (grammar); Medicine; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001151066,0.00007739385,0.0001565665,0.00005861337,0.0003947998,0.000009689821,0.00003982248,0.0001809585,0.0001416164],"category_scores_gemma":[0.003663444,0.00006656904,0.00001953979,0.0001540678,0.00003159523,0.0001707512,0.00001856265,0.0004691407,0.00006019432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277091,"about_ca_system_score_gemma":0.00006516848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007357754,"about_ca_topic_score_gemma":0.0003881447,"domain_scores_codex":[0.9985611,0.0003863341,0.0002933767,0.0001699519,0.0001765763,0.0004126477],"domain_scores_gemma":[0.9987777,0.0006196648,0.0001273475,0.0001322085,0.00009480169,0.0002482164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006559164,0.0004082411,0.5524298,0.000139739,0.00003602427,0.000004123169,0.005891138,6.546014e-7,0.000009863729,0.01071742,0.0273337,0.4029637],"study_design_scores_gemma":[0.0003717116,0.00005496326,0.9367182,0.0000140269,0.00001315626,5.54835e-7,0.0005734515,0.00001011204,0.000003645871,0.002711675,0.05946324,0.00006529195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8955787,0.0001106681,0.00003534631,0.09566553,0.0004299993,0.001101802,0.000005381909,0.0001644404,0.006908171],"genre_scores_gemma":[0.9915618,0.00009886494,0.00001806754,0.006260128,0.0002143796,0.0004949935,0.00001729967,0.00000526252,0.00132917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4028984,"threshold_uncertainty_score":0.4385749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08410063278211106,"score_gpt":0.4036040419402477,"score_spread":0.3195034091581367,"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."}}