{"id":"W2163305343","doi":"10.1111/cch.12015","title":"Maternal and infant predictors of attendance at Neonatal Follow‐Up programmes","year":2013,"lang":"en","type":"article","venue":"Child Care Health and Development","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Hamilton Health Sciences; University of Toronto; McMaster University; Public Health Ontario; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Attendance; Context (archaeology); Psychology; Logistic regression; Medicine; Referral; Cohort; Odds ratio; Longitudinal study; Developmental psychology; Family medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00009346428,0.0001970609,0.0003594485,0.0000915577,0.0002067129,0.0000215851,0.00005122069,0.00007787465,0.00005227915],"category_scores_gemma":[0.0000144024,0.0001552483,0.00003076415,0.00006621584,0.00008087207,0.00007803224,0.0001238587,0.0001236464,0.000005556999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058459,"about_ca_system_score_gemma":0.0004258863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001521336,"about_ca_topic_score_gemma":0.0001089509,"domain_scores_codex":[0.9986211,0.00001793575,0.0004228415,0.0002861476,0.0002761671,0.0003758279],"domain_scores_gemma":[0.9991384,0.00001567373,0.000129268,0.0001311521,0.0001329423,0.0004526206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008442132,0.000003288353,0.8217369,0.0009750905,0.00004470189,0.000006521518,0.01772683,2.076546e-8,0.000005594005,0.00001134567,0.001042054,0.1583632],"study_design_scores_gemma":[0.001912844,0.0002388149,0.8757326,0.0006364,0.000009609705,0.0002081893,0.001171315,0.00000404999,0.001848936,0.00000389561,0.1180176,0.0002157697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884586,0.008773543,0.00001008646,0.0005332199,0.0003110467,0.0009202435,0.00002492031,0.0000476408,0.0009207212],"genre_scores_gemma":[0.9921157,0.0006932927,0.005163471,0.001329734,0.0000643033,0.0001048798,0.0003162217,0.00001838116,0.0001940032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1581475,"threshold_uncertainty_score":0.6330841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007759349658926613,"score_gpt":0.238025610965182,"score_spread":0.2302662613062554,"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."}}