{"id":"W2978236720","doi":"10.3390/app9194103","title":"Overview of Federated Facility to Harmonize, Analyze and Management of Missing Data in Cohorts","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Horizon 2020 Framework Programme","keywords":"Missing data; Raw data; Computer science; Data science; Observational study; Harmonization; Sample size determination; Data mining; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03131135,0.001795659,0.001867474,0.006600165,0.001034944,0.005010619,0.006305267,0.001593219,0.02762405],"category_scores_gemma":[0.05624345,0.001634857,0.003858194,0.005666221,0.0007252615,0.003342597,0.006918166,0.002058203,0.015812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341823,"about_ca_system_score_gemma":0.006264245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00443788,"about_ca_topic_score_gemma":0.002713015,"domain_scores_codex":[0.9866218,0.005399831,0.002739529,0.001969113,0.00256655,0.0007032042],"domain_scores_gemma":[0.9672357,0.0118968,0.002993562,0.01106574,0.005092678,0.001715542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003231503,0.0005530643,0.01483366,0.003976578,0.001545168,0.001097336,0.001150771,0.02303494,0.008383453,0.03844821,0.1898935,0.7138519],"study_design_scores_gemma":[0.001948176,0.0006107569,0.01320898,0.001926073,0.000713393,0.002308599,0.0004094406,0.1389455,0.03345395,0.07228598,0.7336318,0.0005571287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0028544,0.0009206947,0.889322,0.000868524,0.0002251735,0.001932837,0.01795957,0.08345959,0.002457203],"genre_scores_gemma":[0.0143814,0.0006176832,0.9497519,0.0003921967,0.0001549969,0.003170971,0.02481524,0.004595917,0.002119743],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03131135,"threshold_uncertainty_score":0.1655922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0755158285083809,"score_gpt":0.3208798524825219,"score_spread":0.245364023974141,"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."}}