{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01669041,0.001053946,0.001140503,0.001413843,0.002482115,0.001260192,0.001646887,0.00185437,0.007920305],"category_scores_gemma":[0.007917042,0.001579139,0.001052383,0.001411621,0.001321505,0.0008644917,0.00171391,0.001152507,0.002169865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004502518,"about_ca_system_score_gemma":0.01489422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04663544,"about_ca_topic_score_gemma":0.07798467,"domain_scores_codex":[0.9891549,0.005968163,0.0006687586,0.001849306,0.001132247,0.001226726],"domain_scores_gemma":[0.9940288,0.000787232,0.001201749,0.001023461,0.001126885,0.001831807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.09733994,0.03130977,0.7658969,0.002082659,0.001182556,0.001656697,0.009878701,0.001324719,0.00705563,0.002320839,0.01117964,0.06877203],"study_design_scores_gemma":[0.04396724,0.1091207,0.8024377,0.0008578513,0.0009265037,0.0006743348,0.006529165,0.0024933,0.002227759,0.001213732,0.02934468,0.0002070794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7298375,0.0007170269,0.005849397,0.0006207008,0.000241079,0.2521097,0.006643582,0.00009164982,0.003889423],"genre_scores_gemma":[0.6265451,0.0005693243,0.02535376,0.003231405,0.0002638676,0.3319948,0.003322235,0.00004495454,0.008674587],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04663544,"threshold_uncertainty_score":0.09272802,"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."}}