{"id":"W1988162024","doi":"10.1117/12.649009","title":"Two-step triangular phase-shifting method for 3-D object-shape measurement","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":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Neptec Design Group (Canada); University of Waterloo; University of Ottawa","funders":"","keywords":"Phase (matter); Computer science; Discontinuity (linguistics); Intensity (physics); Projection (relational algebra); Computer vision; Artificial intelligence; Optics; Algorithm; Physics; Mathematics; Mathematical analysis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002898975,0.0004154989,0.0005638737,0.0001574999,0.0001387517,0.0003044844,0.00221946,0.0001874779,0.00001386783],"category_scores_gemma":[0.001360722,0.000344546,0.0009019435,0.0004047116,0.0001237296,0.001167644,0.0002881571,0.000337362,0.000002196541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003405206,"about_ca_system_score_gemma":0.00006615916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006777681,"about_ca_topic_score_gemma":3.414979e-7,"domain_scores_codex":[0.9964302,5.030067e-8,0.001005736,0.0006287275,0.001321078,0.0006141636],"domain_scores_gemma":[0.995595,0.0002149055,0.0004912384,0.0001201521,0.00340272,0.0001759605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007108928,0.0001899536,0.00001449239,0.0001766346,0.0002429327,2.75639e-8,0.0001367097,0.00001756331,0.4837313,0.504792,0.002084919,0.008542382],"study_design_scores_gemma":[0.002761065,0.0009517873,0.00003453085,0.0003912108,0.0001485665,0.000008161508,0.0003509484,0.4075735,0.5747951,0.003145766,0.009356936,0.0004824343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9070447,0.000259521,0.07443625,0.008244268,0.0004203591,0.001887617,0.00003103025,0.0004550638,0.007221175],"genre_scores_gemma":[0.187133,0.00002445343,0.8115578,0.0002285108,0.0005763388,0.0003605697,0.00000273353,0.00004609496,0.00007047072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7371216,"threshold_uncertainty_score":0.9999006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03571043733862753,"score_gpt":0.290180436661881,"score_spread":0.2544699993232534,"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."}}