{"id":"W4389351302","doi":"10.21653/tjpr.1163067","title":"COST ANALYSIS OF MOBILE TECHNOLOGY AND SUPERVISED EXERCISE TRAINING IN TYPE 2 DIABETES MELLITUS","year":2023,"lang":"tr","type":"article","venue":"Türk fizyoterapi ve rehabilitasyon dergisi","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Gynecology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001543536,0.0004286136,0.0007287462,0.001688111,0.0002263161,0.0009510815,0.0005052357,0.0005530213,0.005554298],"category_scores_gemma":[0.008662766,0.0001609934,0.002736535,0.002264006,0.0001585251,0.0006851266,0.0006477223,0.0006090924,0.0003359895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001899529,"about_ca_system_score_gemma":0.001219638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02350851,"about_ca_topic_score_gemma":0.01330431,"domain_scores_codex":[0.9987193,0.0006060678,0.0001028166,0.0001151498,0.0002838657,0.0001727726],"domain_scores_gemma":[0.9955624,0.002828744,0.0007135038,0.0001314612,0.0004982919,0.0002654954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008379946,0.001266355,0.7703391,0.001265403,0.003644895,0.0003743626,0.0001909058,0.04786283,0.0003989479,0.003093368,0.003749324,0.1594345],"study_design_scores_gemma":[0.0002313417,0.002892857,0.9188483,0.0004779332,0.002281504,0.0003661067,0.000835224,0.0678421,0.0004132256,0.001506434,0.004236219,0.00006873629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821507,0.007601572,0.002172603,0.000751195,0.00009475473,0.0002099857,0.003533891,0.00002251215,0.003462848],"genre_scores_gemma":[0.9951341,0.001059303,0.0009931311,0.00005527309,0.00004531653,0.0001231381,0.001377181,0.000007622621,0.001204893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02350851,"threshold_uncertainty_score":0.04674339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04133748422887281,"score_gpt":0.3785314710781067,"score_spread":0.3371939868492339,"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."}}