{"id":"W2158224660","doi":"10.1111/ppe.12107","title":"Case–Crossover Designs for More Patient‐Centred Epidemiology","year":2014,"lang":"en","type":"letter","venue":"Paediatric and Perinatal Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Anesthesiology; Medicine; Library science; Columbia university; Citation; Original research; Family medicine; Media studies; Sociology; Psychiatry; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1424572,0.0009018609,0.002539151,0.00141859,0.0009372316,0.002818792,0.004838811,0.016877,0.01388445],"category_scores_gemma":[0.4106994,0.001321294,0.002531681,0.00194798,0.00641513,0.006468602,0.002175013,0.02804582,0.00175932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002364409,"about_ca_system_score_gemma":0.003006136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001471249,"about_ca_topic_score_gemma":0.002559525,"domain_scores_codex":[0.9027874,0.0851916,0.003301416,0.003919026,0.004434091,0.0003664763],"domain_scores_gemma":[0.3196446,0.6509708,0.005514443,0.01712768,0.005363815,0.001378621],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001613901,0.0003572048,0.005880525,0.00276386,0.001556228,0.002948517,0.0008762266,0.006009845,0.0005163372,0.4064941,0.3539363,0.2170469],"study_design_scores_gemma":[0.003676788,0.0003256393,0.002157424,0.0007897579,0.0003137543,0.002032234,0.000120131,0.01211465,0.0002028964,0.879422,0.09874423,0.000100467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002640744,0.01062689,0.3130881,0.6472431,0.01994682,0.0004306665,0.0007696766,0.0003065486,0.00494737],"genre_scores_gemma":[0.05144027,0.007617979,0.3190436,0.5429806,0.07003323,0.003037312,0.0003623695,0.0002658419,0.005218731],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8575428,"threshold_uncertainty_score":0.7533947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3168554497927606,"score_gpt":0.4274504641419578,"score_spread":0.1105950143491971,"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."}}