{"id":"W2082034514","doi":"10.1016/j.cviu.2014.03.004","title":"Unsupervised visual hull extraction in space, time and light domains","year":2014,"lang":"en","type":"article","venue":"Computer Vision and Image Understanding","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Artificial intelligence; Computer vision; Silhouette; Visual hull; Computer science; Object (grammar); Segmentation; Pixel; Cognitive neuroscience of visual object recognition; Pattern recognition (psychology); 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":[0.0003790451,0.0009837595,0.001443274,0.00317211,0.000611287,0.001857005,0.00104787,0.001008825,0.00303132],"category_scores_gemma":[0.001399498,0.0006150057,0.001438535,0.002503183,0.0006230877,0.001400848,0.001661579,0.001191868,0.002388412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004678009,"about_ca_system_score_gemma":0.001548405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006751427,"about_ca_topic_score_gemma":0.0112763,"domain_scores_codex":[0.9993619,0.00006705399,0.00003096669,0.0001425223,0.0002389852,0.0001585077],"domain_scores_gemma":[0.9990363,0.0002422338,0.0001101455,0.0001848282,0.0003405849,0.00008590541],"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":[0.0006583388,0.0002461635,0.002595438,0.0003129622,0.0001216856,0.0002074993,0.0001782365,0.03810742,0.1486705,0.006380782,0.008438071,0.7940829],"study_design_scores_gemma":[0.00004883193,0.0001009116,0.00600442,0.00003935669,0.00007320397,0.0002646383,0.0002100805,0.9197296,0.05908223,0.008222123,0.006181933,0.00004264175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03225051,0.0002469097,0.9629965,0.00009770221,0.00003841649,0.00006687028,0.000426321,0.00215569,0.001721016],"genre_scores_gemma":[0.3385175,0.0006077779,0.6456339,0.00008515248,0.00008386502,0.0001075054,0.004135068,0.0008372801,0.009992041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006751427,"threshold_uncertainty_score":0.01342422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345479336989169,"score_gpt":0.2817079172203744,"score_spread":0.2682531238504827,"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."}}