{"id":"W1923289054","doi":"10.5220/0004722403680377","title":"Shape from Silhouette in Space, Time and Light Domains","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Silhouette; Computer vision; Artificial intelligence; Visual hull; Computer science; Object (grammar); Segmentation; Image segmentation; Cut; Rectangle; Pixel; Opacity; 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":[0.0006901645,0.000732562,0.0008685829,0.003072552,0.0003231138,0.001806905,0.0009234445,0.00116217,0.001713859],"category_scores_gemma":[0.003222135,0.0007541584,0.001101189,0.002048254,0.0009951196,0.001869168,0.001104439,0.001079711,0.001406283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006543648,"about_ca_system_score_gemma":0.0005007139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198673,"about_ca_topic_score_gemma":0.002308655,"domain_scores_codex":[0.99929,0.000112098,0.00002963788,0.000188144,0.0003129768,0.00006716078],"domain_scores_gemma":[0.9988981,0.0004013244,0.000201241,0.0001852159,0.000238171,0.00007591581],"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":[0.0003968126,0.00007208839,0.00296062,0.0004191712,0.0001295584,0.0004316819,0.0006046148,0.3048854,0.1182408,0.03979466,0.003188748,0.5288758],"study_design_scores_gemma":[0.00001036552,0.00007975693,0.003712825,0.00004510906,0.00003041652,0.0006580951,0.0001163398,0.9379454,0.02525946,0.02573761,0.006342026,0.00006266448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0129768,0.0003174998,0.9852717,0.00004907023,0.00001894059,0.00002658619,0.0001012567,0.0003666601,0.0008715185],"genre_scores_gemma":[0.3422509,0.001215878,0.6516084,0.00008811249,0.0001423013,0.00009938663,0.0009440496,0.0005768502,0.003074102],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003072552,"threshold_uncertainty_score":0.00573349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004212893001140581,"score_gpt":0.2197008131215482,"score_spread":0.2154879201204077,"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."}}