{"id":"W7115361008","doi":"","title":"Ruh sağlığı çalışanlarının yüz ifadelerinden duyguları ve karmaşık zihin durumlarını tanıma becerileri üzerine bir araştırma","year":2023,"lang":"en","type":"dissertation","venue":"Ibn Haldun University Institutional Repository (Yes)","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facial expression; Mental health; Set (abstract data type); Turkish; Face (sociological concept); Expression (computer science); Significant difference","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":[0.0009893333,0.0005749383,0.0006414989,0.000686125,0.0009278304,0.001698773,0.0005416062,0.0009144965,0.02112722],"category_scores_gemma":[0.001653118,0.0002473123,0.0005833552,0.0005259346,0.0007092755,0.001285396,0.0008142859,0.001005021,0.005802524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007098057,"about_ca_system_score_gemma":0.00102749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003404639,"about_ca_topic_score_gemma":0.004015449,"domain_scores_codex":[0.9995565,0.00007148802,0.00003166504,0.00009218835,0.0001578315,0.00009023472],"domain_scores_gemma":[0.9992686,0.0001798146,0.0000956224,0.00005865383,0.0003304907,0.00006680386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00144032,0.0006371367,0.02333819,0.00114466,0.0001159763,0.00210271,0.003812753,0.001944116,0.04719625,0.00915666,0.0203178,0.8887934],"study_design_scores_gemma":[0.0003290426,0.004516161,0.3731125,0.001825265,0.0005888395,0.0102065,0.03264217,0.02787197,0.1058509,0.01968204,0.4228173,0.0005572166],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7390777,0.0166704,0.06334315,0.005568223,0.001666499,0.000461634,0.0009172969,0.001547795,0.1707472],"genre_scores_gemma":[0.9075879,0.0070616,0.03518317,0.0007243964,0.0002811196,0.0001709522,0.0007302401,0.0002294427,0.04803121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02112722,"threshold_uncertainty_score":0.07067758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121616849334488,"score_gpt":0.2666782582890448,"score_spread":0.2454620897957,"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."}}