{"id":"W3085214876","doi":"10.14733/cadaps.2021.443-467","title":"Feature-Based Model Difference Identification for Aerospace Sheet Metal Parts","year":2020,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Aerospace; Identification (biology); Feature (linguistics); Sheet metal; Computer science; Engineering; Engineering drawing; Aerospace engineering; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003788717,0.0002946109,0.0005629108,0.0005408883,0.0002469879,0.0004505388,0.0005074455,0.0005780796,0.002718712],"category_scores_gemma":[0.001174244,0.0002618558,0.0006437583,0.0003562076,0.0001891494,0.0004430704,0.0004328716,0.0004894485,0.0006558154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003185718,"about_ca_system_score_gemma":0.0004293322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003625917,"about_ca_topic_score_gemma":0.003199215,"domain_scores_codex":[0.999843,0.00002363718,0.000009962767,0.00004398362,0.00005980928,0.00001947797],"domain_scores_gemma":[0.9997107,0.0001408021,0.00003106647,0.00003620228,0.00007263297,0.000008557695],"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":[0.0003926529,0.0001400097,0.001916155,0.0001727806,0.00008547687,0.0001441858,0.0001352195,0.4544643,0.03886686,0.004466949,0.001997646,0.4972177],"study_design_scores_gemma":[0.000003897535,0.00003419297,0.0006060814,0.000002794457,0.000005788981,0.00002746327,0.000008158012,0.9964765,0.001944131,0.0004378961,0.0004488775,0.000004320869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03977901,0.0001745846,0.9578526,0.00007222303,0.00003873803,0.00003987903,0.00005687424,0.0007423232,0.001243722],"genre_scores_gemma":[0.8748598,0.000124568,0.1204804,0.00005508386,0.00001468653,0.00008079301,0.0002572464,0.0000780983,0.004049328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003625917,"threshold_uncertainty_score":0.009095013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04176868117188623,"score_gpt":0.2537619408730779,"score_spread":0.2119932597011917,"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."}}