{"id":"W7148220327","doi":"","title":"Inovatyvių sveikatos technologijų pritaikymo pajėgumų didinimas pasaulinėje sveikatos priežiūros sistemoje.","year":2025,"lang":"en","type":"article","venue":"Institutional Repository of LCC International University","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Interoperability; Health care; Digital health; Quality (philosophy); Equity (law); Work (physics); Government (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.005393127,0.000628805,0.0006286057,0.00217238,0.003755872,0.01816445,0.001320359,0.002175206,0.02427776],"category_scores_gemma":[0.009249222,0.0005966986,0.0006888191,0.003107285,0.004935067,0.01158126,0.008147246,0.004321837,0.007151793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00390464,"about_ca_system_score_gemma":0.007033135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003110422,"about_ca_topic_score_gemma":0.003805613,"domain_scores_codex":[0.9947006,0.002000571,0.0004608268,0.0007484311,0.001406533,0.0006831362],"domain_scores_gemma":[0.9938134,0.002558623,0.0004550926,0.001044984,0.001383427,0.0007445486],"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":[0.0001825915,0.000349702,0.008401148,0.001620949,0.0000755183,0.001070858,0.02928797,0.00158142,0.003026036,0.5675837,0.04645992,0.3403603],"study_design_scores_gemma":[0.00001721323,0.0001161448,0.004267975,0.001217119,0.00005523668,0.0006890002,0.01347053,0.001054211,0.002445546,0.06756445,0.9090356,0.00006698794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08771548,0.03883147,0.08473611,0.05471334,0.005257007,0.000558736,0.0009113703,0.001526386,0.7257501],"genre_scores_gemma":[0.6395689,0.04291247,0.07043149,0.005580695,0.001560934,0.0006168098,0.001049579,0.00127737,0.2370018],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02427776,"threshold_uncertainty_score":0.08121723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04340133175962932,"score_gpt":0.3331420360729181,"score_spread":0.2897407043132888,"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."}}