{"id":"W7038796859","doi":"","title":"Innovations and opportunities for primary health care after hospital discharge: an application of causal inference methods in health services research","year":2017,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Causal inference; Propensity score matching; Psychological intervention; Covariate; Primary care; Health care; Null hypothesis; Sample (material)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01143352,0.0004459686,0.001106188,0.001058388,0.004294176,0.00004907272,0.0005832782,0.0009295798,0.00004256363],"category_scores_gemma":[0.0009060913,0.00044838,0.00007669282,0.0004146082,0.0001379071,0.001218922,0.000156608,0.002925399,0.00001059004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460097,"about_ca_system_score_gemma":0.002175245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00499886,"about_ca_topic_score_gemma":0.0136044,"domain_scores_codex":[0.9920981,0.002484074,0.002621724,0.0007634863,0.0008836119,0.001148984],"domain_scores_gemma":[0.99267,0.001203794,0.00251705,0.0009276098,0.002036084,0.0006454332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004832986,0.0002014342,0.001296285,0.05675883,0.00003714412,0.000001401873,0.005106424,0.000001517472,0.00016443,0.1013233,0.000021717,0.8346042],"study_design_scores_gemma":[0.006712373,0.005084974,0.2439388,0.02740968,0.0001161724,0.000003944117,0.1558773,0.0006374445,0.0006987207,0.04143708,0.5154053,0.002678242],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952108,0.002952692,0.0001306618,0.00227092,0.002201009,0.01307849,0.007305959,0.0002644608,0.0196878],"genre_scores_gemma":[0.9654131,0.00233503,0.009552315,0.002682762,0.0001560331,0.005274924,0.01281465,0.0001371672,0.001634046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.831926,"threshold_uncertainty_score":0.9997968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2256095663456222,"score_gpt":0.5251254865736102,"score_spread":0.2995159202279881,"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."}}