{"id":"W4249192919","doi":"10.1007/978-3-030-04506-7_6","title":"Future Directions","year":2019,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in health care management and economics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Big data; Data science; Analytics; Computer science; Internet of Things; Healthcare industry; Health care; Key (lock); World Wide Web; Political science; Computer security; Data mining","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002147916,0.0002459877,0.0004834484,0.0003672896,0.0001155942,0.00003260724,0.00006992717,0.0002542239,0.0001781676],"category_scores_gemma":[0.000004619536,0.0002827873,0.00008930647,0.00003308078,0.00004307509,0.00005916979,0.00008108523,0.0004167928,0.000168748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008421732,"about_ca_system_score_gemma":0.0002746954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003767542,"about_ca_topic_score_gemma":0.001114149,"domain_scores_codex":[0.998423,0.000008972062,0.0006795384,0.0004966661,0.00007184064,0.0003199159],"domain_scores_gemma":[0.9991307,0.00003327625,0.0002170102,0.0004015517,0.00004785755,0.0001696341],"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":[0.00008324918,0.00002247703,0.003974249,0.005347895,0.00008450498,0.0000112025,0.002261234,0.00002174713,2.406291e-8,0.2437053,0.002607112,0.741881],"study_design_scores_gemma":[0.00007501458,0.0001317441,0.001828114,0.0005601266,0.00003407661,0.000006335931,0.001492799,0.00003642233,0.000001386705,0.002517946,0.9931039,0.0002121545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007740164,0.03879062,0.00001468673,0.01167855,0.005835962,0.002719442,0.00002780663,0.0001045293,0.9330882],"genre_scores_gemma":[0.01722447,0.3336074,0.001675352,0.007606049,0.003543311,0.00008632761,0.0003485373,0.0001832132,0.6357254],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9904968,"threshold_uncertainty_score":0.9999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05104440051183142,"score_gpt":0.3291115783600542,"score_spread":0.2780671778482228,"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."}}