{"id":"W2166977277","doi":"10.1364/ao.45.006381","title":"Three-dimensional surface contouring of macroscopic objects by means of phase-difference images","year":2006,"lang":"en","type":"article","venue":"Applied Optics","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Contouring; Holography; Optics; Digital holography; Phase (matter); Image subtraction; Holographic interferometry; Computer science; Subtraction; Process (computing); Wavelength; Artificial intelligence; Physics; Computer vision; Image processing; Image (mathematics); Mathematics; Computer graphics (images)","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":[0.0002030638,0.0002058095,0.0002047404,0.0005596863,0.000167646,0.0005149487,0.0004587708,0.000270036,0.0009578756],"category_scores_gemma":[0.0007003997,0.0002240655,0.0001679417,0.000283648,0.0005341023,0.0005441627,0.0004385986,0.0005590026,0.0002657923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199637,"about_ca_system_score_gemma":0.0002173852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002003845,"about_ca_topic_score_gemma":0.0002066994,"domain_scores_codex":[0.9999024,0.000008466153,0.000004047449,0.00001869399,0.00005751408,0.000008834273],"domain_scores_gemma":[0.9996389,0.0001322055,0.00004019018,0.0001173304,0.00005165957,0.00001967426],"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":[0.00009730095,0.00004322804,0.0009372072,0.0001339945,0.00001387718,0.0001224716,0.0001706246,0.008862572,0.8167973,0.02177383,0.0003871057,0.1506605],"study_design_scores_gemma":[0.00002201401,0.00009980217,0.002120653,0.00001030865,0.00001443521,0.0006377159,0.00004752596,0.1573927,0.8266825,0.006017119,0.006909621,0.00004569041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1216557,0.000237665,0.8748965,0.0001133226,0.0000399647,0.00004085813,0.00009353419,0.0004726132,0.002449835],"genre_scores_gemma":[0.3260732,0.0002255818,0.6725244,0.00002490849,0.00001680366,0.00003764986,0.0001208994,0.00005405054,0.000922616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009578756,"threshold_uncertainty_score":0.003204405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005966114690387625,"score_gpt":0.2312466620382918,"score_spread":0.2252805473479041,"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."}}