{"id":"W6986562948","doi":"","title":"Predicting the utilization of child health programs / services by a cohort of Northern Ontario mothers and children / Gavin Giles. --","year":2004,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Cohort; Public health; Bivariate analysis; Cohort study; Child health","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003283648,0.0002395037,0.0005960082,0.0004176384,0.0002800752,0.00002445625,0.0004072493,0.0001977243,0.00001944908],"category_scores_gemma":[0.000009855331,0.0002632092,0.0001221384,0.0004962189,0.00009461791,0.0001191413,0.00008046551,0.0003080541,0.000006114375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004317053,"about_ca_system_score_gemma":0.0002617124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1786143,"about_ca_topic_score_gemma":0.9813675,"domain_scores_codex":[0.9986283,0.00005783354,0.0005812067,0.0003943935,0.00006035835,0.0002779707],"domain_scores_gemma":[0.9984607,0.00002708718,0.0009427805,0.0003704239,0.00009352002,0.0001054524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000386315,0.0002925993,0.9453691,0.0008628081,0.0002968827,4.826939e-7,0.01612781,0.00001329666,2.145331e-7,0.03081435,0.00009399385,0.006089887],"study_design_scores_gemma":[0.0009255309,0.0002598284,0.8852605,0.001004999,0.000103467,0.000001712258,0.0017442,0.00004377431,0.00001299532,0.0004943465,0.1098066,0.0003420966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288011,0.00606197,0.0000627188,0.000568618,0.000177432,0.001246031,0.0003425012,0.00003910856,0.06270053],"genre_scores_gemma":[0.9943583,0.0001230983,0.00000722623,0.00001145966,0.00002482115,0.000005890839,0.001244382,0.00003177829,0.004193038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8027532,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611877974139662,"score_gpt":0.2364069994568824,"score_spread":0.2102882197154858,"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."}}