{"id":"W2116850239","doi":"10.1109/im.2003.1240232","title":"Efficient surface reconstruction from range curves","year":2004,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Surface reconstruction; Computer science; Range (aeronautics); Surface (topology); Curvilinear coordinates; Field (mathematics); Set (abstract data type); Algorithm; Computer vision; Curve fitting; Artificial intelligence; Geometric modeling; Vector field; Data set; Mathematics; Geometry","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":[0.0001223567,0.00007779847,0.0000865324,0.00005379867,0.0000660746,0.00008690116,0.000350222,0.00003185215,0.00002748982],"category_scores_gemma":[0.000006226454,0.00006965641,0.00004543731,0.0003536058,0.00002261866,0.0001068037,0.0001161771,0.00004968375,0.00002077827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002237536,"about_ca_system_score_gemma":0.00002997533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002583661,"about_ca_topic_score_gemma":0.00001429011,"domain_scores_codex":[0.9993101,0.00002301989,0.0001479941,0.000253582,0.0001565724,0.0001087669],"domain_scores_gemma":[0.9994926,0.00002379729,0.00004609613,0.0003200232,0.00007069884,0.00004675713],"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":[0.000001317922,0.00009447549,0.001189571,0.00001349143,0.00001178817,0.000003331927,0.0002598994,0.001192144,0.0003732197,0.9803962,0.00108742,0.0153772],"study_design_scores_gemma":[0.001136616,0.0001650854,0.008768131,0.0005122132,0.000010736,0.00004007721,0.00002242451,0.7646527,0.04934388,0.1723492,0.002276291,0.0007226364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08646593,0.0003048884,0.9106597,0.0007376178,0.0002888777,0.00009883672,0.000001497247,0.0005973908,0.000845297],"genre_scores_gemma":[0.8329031,0.0001771994,0.1659808,0.0008502481,0.00003969279,0.000003630721,0.000003015507,0.000005527716,0.00003676791],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8080469,"threshold_uncertainty_score":0.2840506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693306149449298,"score_gpt":0.2623824201149524,"score_spread":0.2454493586204594,"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."}}