{"id":"W7164701826","doi":"","title":"Quebec Yardımcı Teknoloji Kullanıcı Memnuniyeti Degerlendirme 2.0 Anketi’nin protez ve ortez kullanan bireylerde Turkce adaptasyonu","year":2020,"lang":"","type":"other","venue":"Hasan Kalyoncu University Institutional Repository (Hasan Kalyoncu University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Product (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.00135589,0.007641419,0.006913175,0.01195822,0.01117057,0.001334154,0.01159524,0.00687502,0.01225742],"category_scores_gemma":[0.0006522613,0.01021698,0.005243042,0.01288731,0.01293762,0.004686746,0.005479356,0.008529826,0.01807582],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02511733,"about_ca_system_score_gemma":0.0250813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03488228,"about_ca_topic_score_gemma":0.0229669,"domain_scores_codex":[0.9678578,0.005104804,0.003481688,0.01046244,0.006897869,0.006195331],"domain_scores_gemma":[0.9770549,0.0009673263,0.006434562,0.006153299,0.00268812,0.006701785],"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":[0.03083258,0.01236167,0.0110601,0.005047247,0.03222476,0.2789168,0.01017791,0.01178315,0.0498311,0.1921342,0.3604238,0.005206638],"study_design_scores_gemma":[0.01441502,0.001435152,0.005175045,0.003816714,0.007087654,0.002007793,0.01315763,0.001263732,0.002635065,0.00005152098,0.9390627,0.009891996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03562653,0.002788905,0.003174199,0.001194659,0.006743588,0.009488961,0.009876546,0.005163525,0.9259431],"genre_scores_gemma":[0.2740248,0.001862357,0.003737113,0.0004487697,0.004086929,0.00001621804,0.004169711,0.002323712,0.7093304],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5786389,"threshold_uncertainty_score":0.9997026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316682548098468,"score_gpt":0.1818436141931714,"score_spread":0.1686767887121867,"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."}}