{"id":"W4392655400","doi":"10.3390/engproc2024065013","title":"Study on 3D Computer-Aided Feature Inspection for Product Design and Analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Scanner; Computer science; Feature (linguistics); Computer-aided; Field (mathematics); Software; Process (computing); 3d scanning; Artificial intelligence; Feature extraction; Computer vision; Engineering drawing; Engineering","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":[0.00008158597,0.00007535138,0.00008774851,0.0001585154,0.00003966786,0.0001034567,0.00002333605,0.00002149734,0.00000603601],"category_scores_gemma":[0.000002998948,0.00005948099,0.00002202583,0.0002357996,0.000002819399,0.00006651128,0.000005217642,0.00004937683,0.000001664563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000176131,"about_ca_system_score_gemma":0.000002588858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002838344,"about_ca_topic_score_gemma":0.000004752999,"domain_scores_codex":[0.9996517,0.000007025338,0.00005929502,0.0001671192,0.0000501671,0.00006468305],"domain_scores_gemma":[0.9998611,0.00002876046,0.0000048237,0.00007453396,0.00001415681,0.00001668666],"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":[0.000006400815,0.00001982951,0.0001240683,0.00008602389,0.0002627824,0.000001244051,0.0003691884,0.9872435,0.00001679654,0.00006570108,0.00186483,0.009939587],"study_design_scores_gemma":[0.00009887003,0.0001156683,0.004544542,0.000008185904,0.0001647453,6.734349e-7,0.00002413795,0.9925889,0.001816796,0.00002213395,0.0005320354,0.00008329654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02543014,0.0001364958,0.9728979,0.00005614471,0.0002433314,0.0003886439,0.000001319391,0.0006394369,0.0002065475],"genre_scores_gemma":[0.9591776,0.00001565486,0.04029416,0.000009886311,0.0001411308,0.00003693705,0.000009491945,0.00001419648,0.000300972],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9337474,"threshold_uncertainty_score":0.2425565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733619527171933,"score_gpt":0.2396793063044944,"score_spread":0.222343111032775,"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."}}