{"id":"W2062834232","doi":"10.1097/ede.0b013e318162afb9","title":"Case-Crossover Designs Compared With Dynamic Follow-up Designs","year":2008,"lang":"en","type":"article","venue":"Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Health; University of Victoria","funders":"","keywords":"Crossover; Crossover study; Computer science; Medicine; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001113134,0.0003545521,0.001000588,0.0001106495,0.0002764312,0.000005088483,0.0002770044,0.000273006,0.0002108446],"category_scores_gemma":[0.00408924,0.0002774471,0.0001234103,0.0002065095,0.0005927578,0.0001704983,0.0000834314,0.0004246624,0.00008013084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001774402,"about_ca_system_score_gemma":0.00009656545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001000454,"about_ca_topic_score_gemma":0.0002991707,"domain_scores_codex":[0.9972021,0.0007122394,0.0007033855,0.0005172722,0.0001161505,0.0007488516],"domain_scores_gemma":[0.9911489,0.007441113,0.0003817748,0.0007203521,0.0001380655,0.0001697904],"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":[0.002294409,0.0009967113,0.08437856,0.0003656148,0.001022959,0.02470729,0.006300173,0.001487768,0.01184176,0.6814482,0.1811584,0.003998192],"study_design_scores_gemma":[0.002107401,0.0009228478,0.001908777,0.00009248116,0.0001175684,0.02678953,0.0002225688,0.004850039,0.001928675,0.9583974,0.001661577,0.001001141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3040696,0.00009222831,0.6932381,0.0002197618,0.0001064592,0.0004241361,0.00001411254,0.0006100208,0.001225608],"genre_scores_gemma":[0.695819,0.00003445568,0.3023858,0.0005490792,0.00003757592,0.00009885243,0.00001279152,0.00005026965,0.001012174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3917494,"threshold_uncertainty_score":0.9999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4774975879361858,"score_gpt":0.4569439295796804,"score_spread":0.02055365835650536,"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."}}