{"id":"W7015263742","doi":"","title":"Statistical Analysis of Spherical Data:
\\nClustering, Feature Selection and
\\nApplications","year":2014,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Concordia University","keywords":"Feature (linguistics); Frame (networking); Probabilistic logic; Feature selection; Selection (genetic algorithm); Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002675175,0.0006494964,0.0009344046,0.001645005,0.0005063236,0.001707837,0.001711844,0.0009102109,0.00130459],"category_scores_gemma":[0.01267588,0.0004814455,0.001291391,0.001876999,0.001875036,0.001924385,0.001808642,0.001620657,0.0005745608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006990573,"about_ca_system_score_gemma":0.00120335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002745207,"about_ca_topic_score_gemma":0.002111285,"domain_scores_codex":[0.9981527,0.0005660646,0.0001344558,0.0004796529,0.0005507201,0.0001164075],"domain_scores_gemma":[0.9928272,0.004514069,0.0006963239,0.001003739,0.0008058151,0.0001527851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008278134,0.0001013183,0.007905348,0.0004140467,0.0002301359,0.0004749485,0.0004864843,0.328538,0.008787273,0.3320617,0.00944317,0.3114748],"study_design_scores_gemma":[0.000003150772,0.00001881441,0.001097078,0.00002233585,0.000009454241,0.00008841839,0.00003994054,0.9224132,0.001422069,0.07184011,0.003021965,0.00002356056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00487815,0.0004328994,0.9934597,0.0003599872,0.00004164779,0.00002210815,0.0001028416,0.0002280173,0.0004746374],"genre_scores_gemma":[0.3782901,0.004043409,0.6090784,0.0006861957,0.0006913487,0.0004189686,0.001815792,0.0004426944,0.004533033],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002745207,"threshold_uncertainty_score":0.01414788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924071418218179,"score_gpt":0.3188399201044142,"score_spread":0.2895992059222324,"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."}}