{"id":"W7000489903","doi":"","title":"Farklı Derin Sinir Ağı Modellerinin Duygu Tanımadaki Performanslarının Karşılaştırılması","year":2021,"lang":"tr","type":"article","venue":"DSpace@MŞU","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Signal processing; Support vector machine; Visualization; Image processing","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":[0.001284556,0.002713461,0.001849873,0.001134485,0.0009206188,0.003712073,0.001993411,0.00216725,0.01547397],"category_scores_gemma":[0.005712073,0.0009331982,0.00183957,0.001062275,0.0008478857,0.003164191,0.001409783,0.002590438,0.007826816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100038,"about_ca_system_score_gemma":0.002040169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02284619,"about_ca_topic_score_gemma":0.01731313,"domain_scores_codex":[0.9988385,0.0001853727,0.00007305629,0.0003525853,0.000409526,0.0001409617],"domain_scores_gemma":[0.9980199,0.0007634228,0.0001100322,0.0002485909,0.0007973942,0.0000607006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001683713,0.0003931054,0.009081266,0.001672128,0.0004947121,0.0009561876,0.0008879357,0.2987126,0.04999715,0.01155637,0.02477491,0.5997899],"study_design_scores_gemma":[0.00007772439,0.0003059223,0.005835827,0.0002669865,0.0002075143,0.0004788642,0.0006608309,0.9234616,0.0241529,0.01095789,0.03343721,0.0001567601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08661807,0.006075874,0.8604563,0.001511138,0.00113533,0.0003113898,0.002408596,0.01144546,0.03003788],"genre_scores_gemma":[0.6809764,0.005439203,0.2562191,0.0006270373,0.000324229,0.0005402701,0.007625685,0.002699928,0.0455482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02284619,"threshold_uncertainty_score":0.05176556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04664649528215002,"score_gpt":0.3104201588377478,"score_spread":0.2637736635555978,"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."}}