{"id":"W2132309097","doi":"10.1111/ppe.12201","title":"Design and Conduct of an <scp>I</scp>nternet‐Based Preconception Cohort Study in <scp>N</scp>orth <scp>A</scp>merica: <scp>P</scp>regnancy <scp>S</scp>tudy <scp>O</scp>nline","year":2015,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Precursory Research for Embryonic Science and Technology; U.S. Department of Agriculture","keywords":"Medicine; Cohort; Cohort study; Demography; Internal medicine; Family medicine","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":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.01632467,0.002550689,0.00587135,0.002049476,0.001933037,0.0001004698,0.001937956,0.003026493,0.00004192927],"category_scores_gemma":[0.07736844,0.002452646,0.0005932908,0.003204708,0.001499169,0.00117578,0.00121705,0.004978585,0.0004544252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008475032,"about_ca_system_score_gemma":0.004551138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004325141,"about_ca_topic_score_gemma":0.00134778,"domain_scores_codex":[0.9690335,0.0117096,0.007236206,0.004650016,0.001432662,0.005937981],"domain_scores_gemma":[0.8996825,0.08623296,0.00512204,0.002745671,0.00153274,0.004684121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004801718,0.002705579,0.8690959,0.00285455,0.0003033003,0.000114607,0.01349984,0.0007200134,0.00009162004,0.001126966,0.1028667,0.006572869],"study_design_scores_gemma":[0.01278264,0.00670047,0.5189446,0.0005246217,0.0008246155,0.0002279251,0.05337629,0.008595593,0.0001069092,0.002436238,0.3951742,0.0003058348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332839,0.03432003,0.005014152,0.0003580819,0.002802803,0.01773493,0.001103732,0.0007299933,0.004652437],"genre_scores_gemma":[0.9311475,0.01865583,0.008732017,0.005659285,0.003498518,0.01985808,0.002194856,0.000609457,0.009644531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3501513,"threshold_uncertainty_score":0.9993663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1193315695388982,"score_gpt":0.4126892145305026,"score_spread":0.2933576449916044,"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."}}