{"id":"W2146755443","doi":"10.1109/cvpr.1993.340967","title":"Scene reconstruction and description: geometric primitive extraction from multiple viewed scattered data","year":2002,"lang":"en","type":"article","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Surface (topology); Artificial intelligence; Extraction (chemistry); Segmentation; Noisy data; Polynomial; Computer vision; Image segmentation; Task (project management); Line (geometry); Algorithm; Mathematics; Geometry; Mathematical analysis; Engineering","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":[0.0002421456,0.0005541589,0.0007360619,0.001016912,0.0002403892,0.0009588777,0.0009739306,0.0006154364,0.002631626],"category_scores_gemma":[0.0007811193,0.0005167701,0.0006821835,0.001138563,0.0004742779,0.001222041,0.00094266,0.0006846119,0.001936574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003263922,"about_ca_system_score_gemma":0.0006164425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001477632,"about_ca_topic_score_gemma":0.001843735,"domain_scores_codex":[0.9996789,0.00003961072,0.00001176354,0.0000619573,0.0001806249,0.00002710693],"domain_scores_gemma":[0.9997948,0.00003922285,0.00002134628,0.00009074265,0.00004419914,0.000009726464],"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":[0.0001771864,0.00006304951,0.0006997368,0.0002462943,0.00005213441,0.0004114209,0.0001613187,0.115205,0.1532975,0.0164879,0.005826315,0.7073721],"study_design_scores_gemma":[0.00001940537,0.00007315608,0.001702217,0.00002819324,0.00002582308,0.0008257308,0.0001222431,0.8615456,0.1034097,0.0179451,0.01425493,0.00004792909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003005658,0.0000550251,0.99575,0.00003790601,0.000005298026,0.00001313672,0.00009945785,0.000649473,0.0003840539],"genre_scores_gemma":[0.1047259,0.0004313705,0.8902643,0.00006103013,0.00001770028,0.00006842773,0.001385013,0.0003574743,0.002688837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002631626,"threshold_uncertainty_score":0.008803666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1945558362001892,"score_gpt":0.2818407618917814,"score_spread":0.08728492569159227,"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."}}