{"id":"W3183287321","doi":"","title":"PROVIDE: A Probabilistic Framework for Unsupervised Video Decomposition","year":2021,"lang":"en","type":"article","venue":"Uncertainty in Artificial Intelligence","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Inference; Leverage (statistics); Artificial intelligence; Probabilistic logic; Unsupervised learning; Benchmark (surveying); Machine learning; Decomposition; Pattern recognition (psychology)","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":[0.0005066144,0.0002148023,0.0002846202,0.0001040088,0.0001987263,0.0003434424,0.0006096797,0.0001306028,0.00007025931],"category_scores_gemma":[0.001659204,0.000213604,0.0001417283,0.000880632,0.00009402125,0.0003757043,0.0001566169,0.0002108089,0.00004622378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001456302,"about_ca_system_score_gemma":0.0002530919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009179114,"about_ca_topic_score_gemma":0.0004793052,"domain_scores_codex":[0.9977762,0.0002049285,0.0005734894,0.0007321488,0.0002341453,0.0004791248],"domain_scores_gemma":[0.9977118,0.001090383,0.0001030718,0.0005908507,0.000395654,0.000108181],"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":[0.0000469937,0.0002141813,0.0000253267,0.00003110941,0.00001367311,0.00002432435,0.000856555,0.1924425,0.003286868,0.6221681,0.0000839702,0.1808064],"study_design_scores_gemma":[0.00002962754,0.00006102262,0.00002230782,0.00007638909,0.000005705198,0.000003749348,0.0001526004,0.508361,0.0255478,0.4650828,0.0004807885,0.0001762072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00283475,0.0001581224,0.9918453,0.003494228,0.0007088173,0.0006054102,0.000008900217,0.0000870105,0.0002574866],"genre_scores_gemma":[0.7329317,0.00002127809,0.2660044,0.000580619,0.0002242121,0.0001767002,0.00001422225,0.00001251622,0.00003433622],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7300969,"threshold_uncertainty_score":0.8710518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04810708885814038,"score_gpt":0.3203977335676425,"score_spread":0.2722906447095021,"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."}}