{"id":"W6963169301","doi":"10.20381/ruor-24585","title":"Evaluation of the quality of clinical data collection for a pan-Canadian cohort of children affected by inherited metabolic diseases: lessons learned from the Canadian Inherited Metabolic Diseases Research Network","year":2020,"lang":"en","type":"other","venue":"University of Ottawa - Library","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Data quality; Minimum Data Set; Missing data; Quality (philosophy); Disease; Cohort; Clinical trial; Data set; Biorepository","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002220573,0.0002395345,0.001013437,0.000353219,0.0003569981,0.00001480857,0.001616624,0.0004545245,0.002609153],"category_scores_gemma":[0.0008086797,0.0002111401,0.0003137136,0.001579589,0.0007660141,0.0001489408,0.0003555948,0.0004795799,0.000004521365],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001318643,"about_ca_system_score_gemma":0.009726349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9523349,"about_ca_topic_score_gemma":0.9183137,"domain_scores_codex":[0.991291,0.006062082,0.0006483352,0.0006960463,0.0008460092,0.0004565012],"domain_scores_gemma":[0.9957338,0.001102251,0.0009321749,0.001516071,0.0001981436,0.000517558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003071335,0.0002702948,0.4026192,0.00008312516,0.001359887,7.910612e-7,0.0003153846,0.000002560982,0.000005337498,0.0007749553,0.5884374,0.005823815],"study_design_scores_gemma":[0.001643308,0.00007294807,0.7511702,0.0001132398,0.001194034,1.128468e-7,0.0003751999,0.0001277375,0.000002832835,0.0001562795,0.2450135,0.0001306041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3920483,0.06148707,0.00009539461,0.02144718,0.002573392,0.02494236,0.4364447,0.0002570532,0.06070453],"genre_scores_gemma":[0.9544127,0.002651612,0.0002953846,0.0008206216,0.0006388546,0.00002574729,0.02694415,0.0002806564,0.01393029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5623644,"threshold_uncertainty_score":0.9983026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3084886133196869,"score_gpt":0.4687391604739685,"score_spread":0.1602505471542816,"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."}}