{"id":"W3172591507","doi":"","title":"Unsupervised Part Representation by Flow Capsules","year":2021,"lang":"en","type":"article","venue":"International Conference on Machine Learning","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Representation (politics); Flow (mathematics); Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001047429,0.001500714,0.00162112,0.002495628,0.0006682278,0.002192136,0.001493626,0.0018631,0.005732893],"category_scores_gemma":[0.002014022,0.001063562,0.002129987,0.002295651,0.001048998,0.002465326,0.002344538,0.001503387,0.002344869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007168821,"about_ca_system_score_gemma":0.001396965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003461367,"about_ca_topic_score_gemma":0.002798175,"domain_scores_codex":[0.999402,0.0001323696,0.00003331417,0.0001938833,0.0001529357,0.00008533195],"domain_scores_gemma":[0.9992074,0.0002101869,0.00007199038,0.0002853766,0.000157613,0.00006752057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007143238,0.0001522074,0.0009346868,0.0001896416,0.0001541211,0.0001938288,0.00009511074,0.1237633,0.06369559,0.02059425,0.009302019,0.7802109],"study_design_scores_gemma":[0.00002075218,0.00006274998,0.0003997053,0.00001775745,0.00003129549,0.00009331611,0.00001716653,0.9699715,0.01587158,0.009796032,0.003696661,0.0000214941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006287365,0.0002098629,0.9911078,0.0001127454,0.00006166135,0.00003827475,0.0001235787,0.001320925,0.0007376485],"genre_scores_gemma":[0.2282217,0.000786025,0.7588249,0.0002957147,0.0001849678,0.0001945612,0.001691518,0.0012729,0.008527622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005732893,"threshold_uncertainty_score":0.01917845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03204435531729514,"score_gpt":0.2907227342666551,"score_spread":0.2586783789493599,"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."}}