{"id":"W1982883648","doi":"10.1117/12.628459","title":"Surface reconstruction from structured-light images for radiation therapy","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer vision; Structured light; Artificial intelligence; Computer science; Surface reconstruction; Optics; Light intensity; Photometric stereo; Offset (computer science); Surface (topology); Mathematics; Physics; Image (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":[0.0005145476,0.0002819325,0.0003351261,0.00007677053,0.00009184059,0.000243455,0.001317431,0.0001867355,0.00001985959],"category_scores_gemma":[0.0002968704,0.0002266217,0.000478948,0.0002309923,0.0001147075,0.001436623,0.0001108312,0.0002197378,0.000001737353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001661262,"about_ca_system_score_gemma":0.00003078243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006146186,"about_ca_topic_score_gemma":1.537012e-7,"domain_scores_codex":[0.9980707,2.188458e-8,0.0006064066,0.000443762,0.0005469336,0.0003321478],"domain_scores_gemma":[0.9977866,0.0001360847,0.0003616388,0.00008326391,0.001538839,0.00009351358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005774726,0.00005697011,0.0002281063,0.0000507643,0.0001765849,7.891317e-9,0.0001335967,0.00002731089,0.7196437,0.2641778,0.004490083,0.01095742],"study_design_scores_gemma":[0.0008718725,0.0003604704,0.0006953243,0.000131597,0.00004072406,0.000004269538,0.0001506306,0.0360725,0.9462499,0.008727232,0.00639547,0.0003000243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9882979,0.0002093744,0.002316847,0.0062644,0.0003582887,0.000698759,0.00004185353,0.0001993941,0.001613126],"genre_scores_gemma":[0.4716308,0.000198857,0.5272382,0.0001290573,0.0005711644,0.0001085211,0.000006929919,0.00003216936,0.00008426148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5249214,"threshold_uncertainty_score":0.9241365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599767713228444,"score_gpt":0.2378723926021353,"score_spread":0.2218747154698508,"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."}}