{"id":"W1556370583","doi":"10.1109/bigdataservice.2015.13","title":"Towards a 'Big' Health Data Analytics Platform","year":2015,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Standardization; Computer science; Data science; Data integration; Big data; Terminology; Analytics; Pipeline (software); Data analysis; Data sharing; Data transformation; Data visualization; Health care; Data mining; Data warehouse; Visualization","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":[0.03764863,0.0009051783,0.0009735132,0.003463545,0.001593019,0.01264448,0.005260949,0.00328546,0.001701508],"category_scores_gemma":[0.02440049,0.001220874,0.001877499,0.003354123,0.002986004,0.01444981,0.01113181,0.00576786,0.001403303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833196,"about_ca_system_score_gemma":0.01008009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002903474,"about_ca_topic_score_gemma":0.002042503,"domain_scores_codex":[0.9857484,0.003961112,0.001629531,0.002193396,0.005648537,0.000819201],"domain_scores_gemma":[0.9730192,0.006009622,0.002005236,0.007446979,0.008479397,0.003039493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000685947,0.000891519,0.02315019,0.001414781,0.0005231083,0.001832134,0.005898248,0.03401847,0.03545614,0.5093298,0.05983019,0.3269695],"study_design_scores_gemma":[0.0001822398,0.000510098,0.007754584,0.001101281,0.0002670778,0.001082665,0.003315807,0.2454815,0.02988518,0.3879538,0.3221831,0.0002827071],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01449017,0.0004856224,0.9604415,0.01242467,0.0003592395,0.0006259932,0.0007411756,0.005676435,0.004755214],"genre_scores_gemma":[0.04423392,0.0003977797,0.9482517,0.002259389,0.000235011,0.0002649455,0.002376812,0.0005036714,0.001476831],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03764863,"threshold_uncertainty_score":0.1991074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8491534457873675,"score_gpt":0.5524366211064039,"score_spread":0.2967168246809636,"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."}}