{"id":"W3100620738","doi":"","title":"Montreal bilişsel değerlendirme ölçeği (MOBİD)'nin hafif bilişsel bozukluk ve alzheımer hastalarını ayırt edebilme gücünün incelenmesi","year":2010,"lang":"tr","type":"article","venue":"The Turkish Journal of Geriatrics","topic":"Health and Well-being Studies","field":"Psychology","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Psychology","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":[0.001096086,0.0005227056,0.0005258058,0.0007562956,0.001718611,0.001297818,0.0007867973,0.0004933178,0.01128995],"category_scores_gemma":[0.003304338,0.0001606901,0.000527213,0.000561869,0.0004765152,0.0006413917,0.001086695,0.0009487352,0.001336595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003965785,"about_ca_system_score_gemma":0.005982471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2159252,"about_ca_topic_score_gemma":0.416713,"domain_scores_codex":[0.9996413,0.00004800472,0.00002521398,0.00003694467,0.0001583175,0.00009008562],"domain_scores_gemma":[0.9988212,0.0001156489,0.0001320764,0.00004383839,0.0005047868,0.0003824577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001394068,0.001348938,0.4469966,0.0006366724,0.0002787555,0.0009243967,0.002646822,0.0002739886,0.001594665,0.003889641,0.123424,0.4165914],"study_design_scores_gemma":[0.0003045213,0.0007664672,0.897763,0.0003404347,0.0003510244,0.001106985,0.002120199,0.000367423,0.001858386,0.002365379,0.09252784,0.000128337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8270651,0.009854755,0.002016374,0.01497843,0.001405408,0.00175181,0.01176156,0.0004915911,0.1306749],"genre_scores_gemma":[0.9276997,0.006250514,0.009588048,0.001707679,0.0001981693,0.001273182,0.006797916,0.00008847487,0.04639625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2159252,"threshold_uncertainty_score":0.4293367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615364978416436,"score_gpt":0.2981140146793655,"score_spread":0.2819603648952012,"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."}}