{"id":"W1981143901","doi":"10.1109/wiamis.2012.6226748","title":"A variational statistical framework for clustering human action videos","year":2012,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cluster analysis; Correctness; Artificial intelligence; Mixture model; Statistical model; Latent Dirichlet allocation; Dirichlet distribution; Representation (politics); Machine learning; Pattern recognition (psychology); Topic model; Algorithm; 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":[0.00027834,0.00005662297,0.00007709333,0.00005367729,0.0001659339,0.0001162163,0.0001447983,0.00004953703,0.000131469],"category_scores_gemma":[0.0001047949,0.0000501491,0.0000379148,0.0001307238,0.000006785683,0.0005598709,0.00005657109,0.00004794232,0.00002344572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000318748,"about_ca_system_score_gemma":0.00001321044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001676456,"about_ca_topic_score_gemma":0.00001556252,"domain_scores_codex":[0.9993561,0.00002882451,0.0001525224,0.000137357,0.000153017,0.0001721617],"domain_scores_gemma":[0.9994883,0.0001842196,0.000046796,0.0001589505,0.00005338921,0.00006835229],"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":[0.000001450247,0.0000332562,0.001709175,0.00000506495,0.00001245417,5.744825e-8,0.0001113488,0.0001864516,0.0002542852,0.9876568,0.0004989835,0.009530726],"study_design_scores_gemma":[0.0001605874,0.00003866876,0.02807176,0.000006824999,0.00001877615,0.000001939482,0.00002202031,0.834618,0.0003109925,0.1334257,0.003175306,0.0001493884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003672585,0.000005667116,0.9982095,0.0003674353,0.0002446866,0.00008179992,0.000002231203,0.00006726167,0.0006541303],"genre_scores_gemma":[0.4969694,5.115577e-7,0.5024473,0.0002186753,0.0001889025,0.00001536059,0.0000157874,0.000002903929,0.0001411356],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8542311,"threshold_uncertainty_score":0.2045021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05472475757489776,"score_gpt":0.3447924576276955,"score_spread":0.2900677000527978,"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."}}