{"id":"W4231903900","doi":"10.32370/ia_2019_01_si_7","title":"Innovative Health Technologies Based on Big Data","year":2019,"lang":"en","type":"article","venue":"Intellectual Archive","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Data science; Computer science; Business; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004350382,0.0008655818,0.0008885772,0.003856972,0.0008531258,0.006052847,0.002168734,0.002536188,0.007097558],"category_scores_gemma":[0.01012977,0.0005474446,0.001094438,0.00386969,0.002679768,0.01047359,0.004896617,0.00327477,0.002735738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359371,"about_ca_system_score_gemma":0.001410759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007004965,"about_ca_topic_score_gemma":0.0005805466,"domain_scores_codex":[0.9964222,0.001214319,0.0002228218,0.0004531215,0.001513006,0.0001745499],"domain_scores_gemma":[0.9923542,0.004060199,0.0004838995,0.001722871,0.001052866,0.0003259512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001224841,0.0001301388,0.003184401,0.001673756,0.0002164182,0.0004441858,0.0009108005,0.006113974,0.002527033,0.564231,0.07505243,0.3453934],"study_design_scores_gemma":[0.00004055454,0.00008149518,0.001581437,0.0007874355,0.00006661771,0.0005803254,0.0006866693,0.01617508,0.001804077,0.6354198,0.3427113,0.00006520267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01254325,0.07775291,0.5945643,0.1172443,0.008728292,0.0006609249,0.004135353,0.004061607,0.1803091],"genre_scores_gemma":[0.3234897,0.119266,0.463455,0.0322029,0.01869619,0.001346656,0.005865106,0.0005981649,0.03508038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007097558,"threshold_uncertainty_score":0.02374375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3373988531858814,"score_gpt":0.4831659514722033,"score_spread":0.1457670982863219,"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."}}