{"id":"W2006030313","doi":"10.1155/2014/758679","title":"3D Wide FOV Scanning Measurement System Based on Multiline Structured-Light Sensors","year":2014,"lang":"en","type":"article","venue":"Advances in Mechanical Engineering","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Ministère de la Santé et des Services sociaux","keywords":"Structured light; Optics; Calibration; System of measurement; Structured-light 3D scanner; Image sensor; Process (computing); Computer science; Materials science; Computer vision; Artificial intelligence; Physics; Scanner","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000987671,0.0002620096,0.0003134219,0.0001896758,0.0000456751,0.00006588332,0.0006690597,0.00009591294,0.000004756934],"category_scores_gemma":[0.0007110715,0.0002281038,0.00006923708,0.0003123855,0.00001361251,0.00041296,0.0000941375,0.0003304957,0.000009023456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757239,"about_ca_system_score_gemma":0.00001646851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000241784,"about_ca_topic_score_gemma":0.000004924208,"domain_scores_codex":[0.9978809,0.00006831226,0.0004092145,0.0004925468,0.0007163084,0.0004327009],"domain_scores_gemma":[0.9990135,0.0001656958,0.00006905001,0.0005151246,0.0001069636,0.0001296546],"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":[0.00005894763,0.000130375,0.0001621829,0.0004308299,0.00001954034,0.00002786226,0.00007288723,0.4838387,0.07990726,0.3599543,0.00002491066,0.0753722],"study_design_scores_gemma":[0.0003104195,0.0002232303,0.00006713169,0.0007219249,0.000003895428,0.000001525444,0.000006150109,0.9017284,0.09476518,0.0003259253,0.0015921,0.0002541317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00202251,0.0001200884,0.9945182,0.0001841266,0.0006537663,0.0002174642,4.618974e-7,0.0006778476,0.001605533],"genre_scores_gemma":[0.8564459,0.000005893774,0.1433263,0.0001020249,0.00006308645,0.00003637984,4.574673e-7,0.00001774871,0.000002245449],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8544234,"threshold_uncertainty_score":0.9301804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254608202458501,"score_gpt":0.231604831820073,"score_spread":0.219058749795488,"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."}}