{"id":"W2086044922","doi":"10.1016/s0010-4485(03)00026-5","title":"Geometric and form feature recognition tools applied to a design for assembly methodology","year":2003,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Feature (linguistics); Minimum bounding box; Component (thermodynamics); CAD; Computer science; Design for assembly; Assembly modelling; Engineering drawing; Bounding overwatch; Orientation (vector space); Artificial intelligence; Algorithm; Pattern recognition (psychology); Mathematics; Engineering; Geometry; Mechanical engineering; Image (mathematics)","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":[0.0007416873,0.0002111513,0.0002834372,0.0003363597,0.00009295479,0.0001322587,0.0001053417,0.0001682384,0.00001017762],"category_scores_gemma":[0.0001722228,0.0002122592,0.00003770143,0.0003802389,0.000008882805,0.0001497615,0.00001807494,0.0001086956,0.00001178358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004865057,"about_ca_system_score_gemma":0.00001913993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.326166e-7,"about_ca_topic_score_gemma":3.340997e-7,"domain_scores_codex":[0.9990124,0.00009019899,0.0001974877,0.0003007216,0.00008843478,0.0003107992],"domain_scores_gemma":[0.9985744,0.00104067,0.00004365326,0.0001558148,0.00007170189,0.0001137171],"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":[0.00007601899,0.00002163714,0.00000187466,0.000201986,0.00005511186,0.0000023139,0.0002252241,0.6013492,0.001574956,0.0004725177,0.007274745,0.3887445],"study_design_scores_gemma":[0.002976553,0.001056424,0.0005515632,0.0001111407,0.0001543721,0.00008275329,0.00004320354,0.5686311,0.3904695,0.02326324,0.01123531,0.001424918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001849252,0.0001753324,0.9959991,0.000029548,0.0002959116,0.001112478,0.000005044023,0.0002662891,0.0002670499],"genre_scores_gemma":[0.06428169,0.00004454899,0.9350376,0.000187272,0.0000930617,0.0002489073,0.00001920171,0.00004513291,0.00004263493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3888945,"threshold_uncertainty_score":0.8655679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1241921619778861,"score_gpt":0.2685686441474847,"score_spread":0.1443764821695986,"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."}}