{"id":"W1547147576","doi":"10.1007/978-3-642-15696-0_64","title":"Recognizing Human Emotional State Based on the Phase Information of the Two Dimensional Fractional Fourier Transform","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Mathematical Analysis and Transform Methods","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fractional Fourier transform; Computer science; Fourier transform; Artificial intelligence; Short-time Fourier transform; Feature extraction; Pattern recognition (psychology); Biometrics; Speech recognition; Computer vision; Fourier analysis; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002153165,0.0002956183,0.0003773283,0.0002768794,0.0004397023,0.00009522654,0.0006672748,0.000152883,0.0005560837],"category_scores_gemma":[0.0002957897,0.0001545578,0.0002974029,0.0002604027,0.0006300036,0.0002298758,0.00006941351,0.001049647,0.000007541571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006728802,"about_ca_system_score_gemma":0.0002426634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000696948,"about_ca_topic_score_gemma":0.00005288213,"domain_scores_codex":[0.9973274,0.00005753667,0.000704641,0.0002978634,0.001366423,0.0002461417],"domain_scores_gemma":[0.9964062,0.002299708,0.0003891418,0.0005559178,0.0002852565,0.00006375495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008966418,0.0005203994,0.00001812107,0.0003874463,0.0001254654,0.00000445494,0.001548108,0.03771235,0.001188313,0.3411381,0.00004831605,0.6172193],"study_design_scores_gemma":[0.0004014089,0.00005787298,0.00001303223,0.0003117186,0.00003283537,0.000005350285,1.963568e-7,0.2775953,0.004039278,0.7170695,0.0003186022,0.0001549307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00217646,0.000003754482,0.9899802,0.001872265,0.0003296701,0.0004450165,0.00004406762,0.00001851425,0.00513004],"genre_scores_gemma":[0.3502663,0.000002261415,0.646396,0.002584304,0.0003500674,0.00002664631,0.00003537519,0.00004544811,0.0002936334],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6170644,"threshold_uncertainty_score":0.6302685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04698081869331562,"score_gpt":0.3326339070100653,"score_spread":0.2856530883167497,"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."}}