{"id":"W3173633242","doi":"10.1089/bio.2020.0171","title":"Longitudinal Health Studies: Secondary Uses Serving the Future","year":2021,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Pooling; Dialog box; Data sharing; Reuse; Population; Data access; Longitudinal study; Longitudinal data; Research ethics; Computer science; Data science; Psychology; Medicine; Environmental health; Database; Data mining; Alternative medicine; Engineering; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009279485,0.00007652206,0.0001427494,0.00002437565,0.001762443,0.0001735453,0.000123708,0.00005604557,0.0001510178],"category_scores_gemma":[0.0001903769,0.0000538837,0.00003668827,0.0002652143,0.0001096457,0.0002474953,0.0001043641,0.0001280095,0.000003868968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007617603,"about_ca_system_score_gemma":0.0004936265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002708046,"about_ca_topic_score_gemma":0.02126436,"domain_scores_codex":[0.9988672,0.0002120939,0.000202917,0.0001786368,0.0002353577,0.0003038058],"domain_scores_gemma":[0.9993488,0.0001829243,0.00008918501,0.000134056,0.0001596518,0.00008545038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001156003,0.00003747136,0.6694945,0.0006683803,0.00007662021,0.00001251748,0.03708234,0.000001679053,0.00001975988,0.173715,0.04692515,0.07195502],"study_design_scores_gemma":[0.0001066433,0.000007788786,0.3390636,0.00008559033,0.000004409222,0.000001884884,0.05351572,0.00001196441,0.00001791608,0.001382935,0.605727,0.00007459401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5192198,0.05057895,0.0000444129,0.4259474,0.001466452,0.000230372,0.00001203513,0.00008647524,0.002414131],"genre_scores_gemma":[0.9241287,0.02581983,0.0006151971,0.04482884,0.002186396,0.00001667882,0.00001907866,0.00001170622,0.002373583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5588018,"threshold_uncertainty_score":0.9995371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110415636867842,"score_gpt":0.4011311568394952,"score_spread":0.2907155199716532,"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."}}