{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358725,0.0005550729,0.0004189702,0.001416163,0.002843195,0.004021758,0.0009725527,0.0006800519,0.1062693],"category_scores_gemma":[0.003811279,0.0003091346,0.0003853743,0.00249642,0.0009849051,0.001031376,0.00112311,0.0009883294,0.02526337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01130819,"about_ca_system_score_gemma":0.0287788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8752612,"about_ca_topic_score_gemma":0.9289962,"domain_scores_codex":[0.9988839,0.0001131424,0.00003545288,0.0001188686,0.0005970529,0.0002515489],"domain_scores_gemma":[0.9953106,0.0002682608,0.0001369303,0.0002434875,0.003425396,0.0006152804],"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":[0.0004044673,0.0001501142,0.03745423,0.000559968,0.00004461741,0.0004192795,0.003595875,0.0009094311,0.002905203,0.01057757,0.6913539,0.2516252],"study_design_scores_gemma":[0.00003258152,0.0000386144,0.08573283,0.000387565,0.00002210846,0.0001459044,0.003717822,0.001118128,0.001824687,0.001107999,0.9057963,0.00007543797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1135984,0.003513975,0.01077856,0.0143633,0.001215318,0.0006767291,0.1171636,0.009276386,0.7294137],"genre_scores_gemma":[0.2485483,0.003382833,0.01700407,0.0013425,0.000090585,0.0003464574,0.05016682,0.002275903,0.6768426],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8752612,"threshold_uncertainty_score":0.3555062,"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."}}