{"id":"W4293798209","doi":"10.23977/acss.2022.060305","title":"Phase Completion for Fringe Projection Profiler Based on Neural Networks","year":2022,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rendering (computer graphics); Artificial neural network; Computer science; Artificial intelligence; Structured-light 3D scanner; Projection (relational algebra); Computer vision; Phase (matter); Algorithm; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006068673,0.0001335207,0.0002090374,0.0001382231,0.000186375,0.0001525428,0.0003096364,0.00002778802,0.000003484856],"category_scores_gemma":[0.000006282534,0.0001181928,0.00004193518,0.0002080751,0.0000204205,0.0003919152,0.000101779,0.0001517495,3.148e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005773715,"about_ca_system_score_gemma":0.00001087822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008680789,"about_ca_topic_score_gemma":0.000001511844,"domain_scores_codex":[0.9986836,0.0001682774,0.0002892565,0.0003826516,0.000249744,0.0002265228],"domain_scores_gemma":[0.9994447,0.0001529344,0.0001062569,0.0001947438,0.00006114253,0.00004021608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003575646,0.001342199,0.001621575,0.0002699874,0.00001642068,0.00001324455,0.0003332304,0.5790163,0.0009229268,0.04276533,0.001459503,0.3718817],"study_design_scores_gemma":[0.0008316041,0.003052904,0.00003977498,0.00006909654,0.000001809911,0.000004293562,0.0000100155,0.9923198,0.0001249452,0.000371448,0.003025378,0.0001488899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00484664,0.0005870914,0.9918772,0.0001444765,0.001184575,0.0009671524,0.000004808074,0.0001420491,0.00024602],"genre_scores_gemma":[0.9900553,0.00001119967,0.008849601,0.000250772,0.0001696411,0.0006392559,0.000008087287,0.00000757618,0.00000855937],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9852087,"threshold_uncertainty_score":0.4819763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05415868995072539,"score_gpt":0.3168262279243371,"score_spread":0.2626675379736118,"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."}}