{"id":"W4393335625","doi":"10.4274/atfm.galenos.2023.24855","title":"Descriptive and Predictive Analysis of Artificial Intelligence Research and Innovation in Health","year":2024,"lang":"en","type":"article","venue":"Journal of Ankara University Faculty of Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Psychology; Descriptive research; Data science; Computer science; Artificial intelligence; Sociology; Social science; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01486871,0.0003385026,0.0006249746,0.01507464,0.0006495988,0.003008431,0.001235325,0.001052656,0.005325957],"category_scores_gemma":[0.08595528,0.0002031583,0.001848629,0.02370095,0.001442404,0.002789071,0.002273374,0.001363362,0.0007211406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851179,"about_ca_system_score_gemma":0.002837516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004618178,"about_ca_topic_score_gemma":0.003626515,"domain_scores_codex":[0.9851836,0.004953516,0.003272907,0.001735718,0.00397712,0.000877096],"domain_scores_gemma":[0.7454307,0.1908816,0.04487155,0.008811479,0.007606695,0.002398033],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001077086,0.00006078704,0.9859846,0.0006717705,0.0004177786,0.00008017571,0.0007140962,0.0004166466,0.00004222917,0.002044088,0.001718641,0.007741494],"study_design_scores_gemma":[0.00002066035,0.0001329041,0.978147,0.0008549512,0.0005258042,0.0004732894,0.003804021,0.003096979,0.000259551,0.004176364,0.0084719,0.00003673193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9004263,0.01496181,0.007856285,0.004777674,0.0002405,0.0007464976,0.05349136,0.0001534914,0.01734602],"genre_scores_gemma":[0.9905862,0.001075276,0.001384257,0.0002101786,0.00009190458,0.0004726473,0.005740283,0.00001430901,0.0004250217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9851313,"threshold_uncertainty_score":0.0786342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.37497919629137,"score_gpt":0.4911795541191231,"score_spread":0.1162003578277531,"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."}}