{"id":"W3008680146","doi":"10.1117/12.2545382","title":"Augmented reality, 3D measurement, and thermal imagery for computer-assisted manufacturing","year":2020,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Augmented reality; Projector; Computer science; Context (archaeology); Component (thermodynamics); Projection (relational algebra); Computer vision; Modal; Artificial intelligence; Computer graphics (images); Materials science","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":[0.0003261737,0.0001564814,0.0001757688,0.00003990187,0.0001965396,0.0001948418,0.0005354401,0.00004769802,0.0000119094],"category_scores_gemma":[0.00001782149,0.000141479,0.00006022616,0.0001393553,0.0000486338,0.0002920049,0.0004146502,0.00009293247,0.00001503179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005481433,"about_ca_system_score_gemma":0.00004183141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004404419,"about_ca_topic_score_gemma":0.00001373807,"domain_scores_codex":[0.9985809,0.00005518165,0.0002771798,0.000507639,0.0003140596,0.0002650073],"domain_scores_gemma":[0.9991271,0.00007598822,0.0001021517,0.0004035293,0.0000964215,0.0001948056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008255209,0.0005421652,0.0002133441,0.0004669305,0.0004512471,0.00001630574,0.001894936,0.002060658,0.07045884,0.04452188,0.04053805,0.8387531],"study_design_scores_gemma":[0.00171609,0.0002099499,0.01277643,0.00003357944,0.0000449928,0.00001818489,0.00005052594,0.9110618,0.05196876,0.0008094186,0.02078712,0.0005232037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002814479,0.00002702304,0.977432,0.01691246,0.00006339096,0.0005629545,0.0000110276,0.0004208391,0.001755884],"genre_scores_gemma":[0.7873259,0.000008860454,0.2081545,0.004106598,0.0001788374,0.0001295547,0.00001909739,0.00002004094,0.00005663009],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9090011,"threshold_uncertainty_score":0.5769347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09208857943274851,"score_gpt":0.2750028615262854,"score_spread":0.1829142820935369,"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."}}