{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008014624,0.0009354424,0.0006508825,0.000610293,0.0003443715,0.0005791119,0.001004094,0.0008089919,0.001665201],"category_scores_gemma":[0.002223733,0.0003926784,0.0007517651,0.0006078256,0.0004175264,0.001310568,0.0007135886,0.001362378,0.0004696876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007787017,"about_ca_system_score_gemma":0.0009564392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015474,"about_ca_topic_score_gemma":0.00724709,"domain_scores_codex":[0.9996358,0.00006709508,0.00001867602,0.0001087857,0.0001156713,0.00005382662],"domain_scores_gemma":[0.9992083,0.0002964404,0.0000741709,0.00008818695,0.0002898576,0.00004310379],"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":[0.0003906723,0.000147681,0.001076052,0.00009604885,0.00005636424,0.00007644854,0.00008138183,0.6164116,0.0161597,0.003188581,0.001723576,0.3605919],"study_design_scores_gemma":[0.000004177118,0.00001936305,0.00009874998,0.000001965776,0.000003465807,0.000007318553,0.00000377264,0.9966698,0.002488563,0.0005338921,0.0001650186,0.00000394658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0416752,0.0002419332,0.9554416,0.0001157927,0.00003893015,0.00005492428,0.0001253373,0.001191398,0.001115016],"genre_scores_gemma":[0.5327735,0.000305314,0.4615191,0.0001305252,0.000061576,0.0001622992,0.0007650635,0.0002105661,0.004072053],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01015474,"threshold_uncertainty_score":0.02019131,"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."}}