{"id":"W7055737064","doi":"","title":"Diz osteoartriti olan hastaların egzersiz programlarına uyumları nasıl artırabiliriz?: randomize kontrollü çalışma","year":2022,"lang":"tr","type":"article","venue":"Dspace Repository (Marmara Üniversitesi)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food intake; WOMAC; Population; Reference values","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008974944,0.001132648,0.001353868,0.000600283,0.002780142,0.0005838946,0.001331413,0.0003975712,0.001127275],"category_scores_gemma":[0.00006752997,0.001394249,0.001120396,0.001625581,0.000357661,0.0008156257,0.0008624907,0.001767999,0.0003937243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164763,"about_ca_system_score_gemma":0.0003537576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002465972,"about_ca_topic_score_gemma":0.0000182194,"domain_scores_codex":[0.9936689,0.0007362859,0.001015873,0.00152552,0.001394939,0.001658525],"domain_scores_gemma":[0.9962604,0.0006058705,0.000497947,0.001458099,0.0002937146,0.0008839827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01124281,0.004695185,0.0336732,0.001948919,0.00516357,0.00520503,0.01015229,0.03103052,0.2352815,0.003933933,0.6518419,0.005831169],"study_design_scores_gemma":[0.04702226,0.001341447,0.002931291,0.0002774668,0.002895612,0.001042479,0.009721963,0.04320789,0.00871908,0.0001841034,0.8785227,0.004133718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8001907,0.01935468,0.006343662,0.01015589,0.009184207,0.01507871,0.002302598,0.005300987,0.1320886],"genre_scores_gemma":[0.9493378,0.0002112338,0.001453965,0.0002452701,0.0009240438,0.0006473151,0.0003230352,0.0002939356,0.04656343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2266808,"threshold_uncertainty_score":0.9997858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0059867782657466,"score_gpt":0.1809225261555417,"score_spread":0.1749357478897951,"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."}}