{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01255765,0.00008234589,0.000221699,0.0001496713,0.00006968242,0.0003844493,0.002561006,0.00002613701,0.0003713552],"category_scores_gemma":[0.002712948,0.00005308752,0.000028186,0.0006079007,0.00005024612,0.0007595442,0.002074332,0.0000685021,0.002005886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005169635,"about_ca_system_score_gemma":0.0003712651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001200946,"about_ca_topic_score_gemma":0.002327899,"domain_scores_codex":[0.9969502,0.00008072717,0.0005635872,0.0004661651,0.00169336,0.0002459586],"domain_scores_gemma":[0.9966881,0.0001608097,0.000150204,0.002542141,0.0001337002,0.0003250316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005549011,0.00003053477,0.00007406202,0.000001748469,0.000007171117,0.000001941108,0.000194579,0.00001146287,6.016802e-8,0.04020541,0.6781341,0.2813333],"study_design_scores_gemma":[0.0002313679,0.00006024534,0.0005408294,0.000002443215,0.000003843536,0.000001618632,0.004054939,0.007300606,0.000002537176,0.05737734,0.9303461,0.00007816299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0014434,0.0001985212,0.5047413,0.05004665,0.00147756,0.0003441169,0.0006131558,0.0001535828,0.4409817],"genre_scores_gemma":[0.7060354,0.0002075951,0.09208856,0.06999105,0.0009358223,0.00001079986,0.001652464,0.00003653948,0.1290418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7045919,"threshold_uncertainty_score":0.9987712,"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."}}