{"id":"W3085576419","doi":"10.1007/978-3-030-44070-1_3","title":"Active Triangulation 3D Imaging Systems for Industrial Inspection","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Triangulation; Computer vision; Artificial intelligence; Structured light; Computer science; Projection (relational algebra); Focus (optics); Optics; Geography; Algorithm; Physics; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001813526,0.0002227584,0.0002832718,0.0001669826,0.00007658332,0.0002871541,0.0003871948,0.0002231394,0.00002367644],"category_scores_gemma":[0.00007486092,0.0001973715,0.0001235412,0.00005104639,0.00002652829,0.0005185361,0.00009583711,0.0002738913,0.00003646605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876483,"about_ca_system_score_gemma":0.00006949015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001358648,"about_ca_topic_score_gemma":0.000001652189,"domain_scores_codex":[0.9987937,0.00001530546,0.000320509,0.0004405599,0.0002880039,0.0001419405],"domain_scores_gemma":[0.9991813,0.00006532708,0.0001978441,0.0002481789,0.0002376162,0.00006978934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004035968,0.000006085115,0.000001604829,0.00001848373,0.00002993937,0.00000143058,0.00004633647,0.000001154159,0.000147736,0.9402111,0.007903898,0.05159192],"study_design_scores_gemma":[0.003362246,0.002379664,0.00002488623,0.0025526,0.0002523565,0.00002381428,0.00007373051,0.3377947,0.0111607,0.2249962,0.4147533,0.002625752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[4.976758e-7,0.00006216405,0.494532,0.0004548961,0.0008399478,0.0007517948,0.000006729534,0.0006667737,0.5026852],"genre_scores_gemma":[0.4312383,0.0003870833,0.0746839,0.001342474,0.0149045,0.0009347256,0.0003968617,0.000356901,0.4757553],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7152148,"threshold_uncertainty_score":0.8048576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172318454372536,"score_gpt":0.2759538533935631,"score_spread":0.1587220079563095,"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."}}