{"id":"W2168078548","doi":"10.1109/cvpr.1998.698646","title":"On 3-D surface reconstruction using shape from shadows","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Robustness (evolution); Computer vision; Computer science; Artificial intelligence; Surface reconstruction; Convergence (economics); Iterative reconstruction; 3D reconstruction; Process (computing); Set (abstract data type); Surface (topology); Computer graphics (images); Algorithm; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003798155,0.00007442186,0.0000727534,0.00003440512,0.00009461491,0.00009203313,0.0002323794,0.00002190159,0.001398062],"category_scores_gemma":[0.00001803239,0.00006512442,0.00002805439,0.0001618776,0.00001681313,0.000603615,0.00006857693,0.00007926096,0.0003544945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002968174,"about_ca_system_score_gemma":0.000004088738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002851309,"about_ca_topic_score_gemma":0.0000012407,"domain_scores_codex":[0.9993446,0.00001961984,0.000110055,0.0002668173,0.0001227347,0.0001361438],"domain_scores_gemma":[0.9995568,0.00005429356,0.00003752269,0.0002758114,0.00002291573,0.00005266864],"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":[0.000001498738,0.00002815126,0.0003068832,7.992746e-7,0.00000383934,0.000005039395,0.0001562744,0.00181426,0.007336944,0.006385937,0.0009481343,0.9830123],"study_design_scores_gemma":[0.0001291829,0.00001282538,0.0001224841,0.00001627882,7.501138e-7,0.00001083598,0.00001771442,0.9919823,0.002105132,0.004804183,0.0007044371,0.00009389459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1295786,0.0000619717,0.854214,0.0004458333,0.0004731556,0.00004432111,7.052399e-7,0.0001946505,0.01498681],"genre_scores_gemma":[0.4515913,0.00001109414,0.5469363,0.0009212436,0.00003137782,2.466966e-7,2.60208e-7,0.000004875526,0.0005033205],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.990168,"threshold_uncertainty_score":0.9995148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04328471622812934,"score_gpt":0.2677465692519529,"score_spread":0.2244618530238235,"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."}}