{"id":"W4409603440","doi":"10.1007/978-3-031-88226-5_16","title":"Functional Sparse Data Clustering Using Conditional Expectation PACE Method","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal","funders":"","keywords":"Computer science; Cluster analysis; Pace; Data mining; Pattern recognition (psychology); Artificial intelligence; Physics","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":[0.001130623,0.0002094332,0.0002176813,0.001120648,0.0006468327,0.0006340257,0.003008439,0.000134812,0.00002665025],"category_scores_gemma":[0.00006865679,0.0002217523,0.00003518291,0.000440383,0.000349158,0.01099848,0.00499346,0.0003731551,0.00004345087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001513817,"about_ca_system_score_gemma":0.0005181942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001820433,"about_ca_topic_score_gemma":0.00001026269,"domain_scores_codex":[0.9981559,0.00005748564,0.0006354882,0.0004300938,0.0005222716,0.0001987868],"domain_scores_gemma":[0.9963654,0.0003332401,0.0003464793,0.002432691,0.0004390947,0.0000830667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001062146,0.00004468789,0.00003949046,0.00009865306,0.00002586577,0.000001185531,0.001750553,0.009766191,0.00007393063,0.5387017,0.007005421,0.4424817],"study_design_scores_gemma":[0.0002421861,0.0000124045,0.0003222452,0.00026694,0.00000796781,0.00002941101,0.00003469875,0.9487345,0.0000196579,0.007459164,0.04264242,0.0002283718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001111658,0.0001424837,0.9488171,0.0007186422,0.0004140836,0.0002508861,0.00005768234,0.00007676468,0.04951122],"genre_scores_gemma":[0.004214239,0.0007537553,0.9909421,0.001338346,0.00006636215,0.00002290013,0.001173282,0.000007562931,0.001481431],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9389684,"threshold_uncertainty_score":0.9042798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1550514971065028,"score_gpt":0.3661923080572737,"score_spread":0.2111408109507709,"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."}}