{"id":"W3163482438","doi":"10.1038/s41598-021-88136-4","title":"Single-shot detection of 8 unique monochrome fringe patterns representing 4 distinct directions via multispectral fringe projection profilometry","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; Lawson Health Research Institute; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Lawson Health Research Institute","keywords":"Multispectral image; Profilometer; Structured-light 3D scanner; Monochrome; Optics; Computer science; Computer vision; Artificial intelligence; Projection (relational algebra); Physics; Scanner; Materials science; Surface finish; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001233627,0.0001914493,0.0002535601,0.000402929,0.000357122,0.0005080317,0.0002940564,0.00008974532,0.00003353152],"category_scores_gemma":[0.0004687432,0.0001878149,0.0001597066,0.001577844,0.0001236971,0.0008694605,0.0003004893,0.0002432344,0.000004124221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001699082,"about_ca_system_score_gemma":0.0001004667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001564997,"about_ca_topic_score_gemma":0.0001600607,"domain_scores_codex":[0.9970031,0.0001287484,0.0007314029,0.001105272,0.0006407324,0.0003906892],"domain_scores_gemma":[0.9976023,0.00004646982,0.0004385365,0.001176484,0.0006273154,0.0001088702],"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":[0.000003086588,0.0002592041,0.02401934,0.00006217896,0.00001871845,0.0001005975,0.0002470155,0.000002433252,0.9619662,0.0001587062,0.00004648262,0.01311599],"study_design_scores_gemma":[0.00005450488,0.0001130246,0.01699665,0.0001451089,0.00001365634,0.0002507169,0.00004305531,0.003367871,0.9758532,0.002596099,0.0003593113,0.0002068229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.66996,0.00007410265,0.3202928,0.00006614412,0.00426734,0.0003765022,0.000001378023,0.000511151,0.004450534],"genre_scores_gemma":[0.9871894,0.000003023093,0.01203266,0.000005005695,0.00007697441,0.00005662122,0.00001004393,0.00001423382,0.0006120989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3172293,"threshold_uncertainty_score":0.7658871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05507003656732667,"score_gpt":0.2827774296275247,"score_spread":0.227707393060198,"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."}}