{"id":"W1489185849","doi":"10.1109/aim.2001.936482","title":"Intelligent 3D sensing in automated manufacturing processes","year":2002,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Innovation Council","funders":"","keywords":"Knowledge base; Computer science; Process (computing); Quality assurance; Knowledge-based systems; Knowledge acquisition; CAD; Terrain; Engineering drawing; Artificial intelligence; 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":[0.0007512652,0.0005121402,0.0007349626,0.0008891663,0.000549574,0.00165117,0.0009038773,0.001202111,0.001794399],"category_scores_gemma":[0.001646152,0.0005874542,0.0007608421,0.0007561658,0.001362429,0.0015577,0.001147932,0.0006179588,0.0007088495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008864398,"about_ca_system_score_gemma":0.0007313581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003187102,"about_ca_topic_score_gemma":0.002331023,"domain_scores_codex":[0.9989195,0.0002444461,0.00006678586,0.0001771312,0.000527281,0.00006487544],"domain_scores_gemma":[0.999443,0.0002895847,0.00007327912,0.00008484143,0.0000895934,0.00001966481],"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":[0.0001439089,0.00007407449,0.0007454565,0.0003386353,0.00006086093,0.0004477246,0.0006537173,0.448775,0.04059319,0.1037757,0.002587019,0.4018047],"study_design_scores_gemma":[0.0000342348,0.00009169234,0.0007823334,0.00008603936,0.00004183816,0.0002823071,0.0001080739,0.8687196,0.01682492,0.08280488,0.03016656,0.00005759884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008785272,0.001460901,0.983035,0.0002481902,0.00003909727,0.00004261961,0.00003258352,0.0007094515,0.005646965],"genre_scores_gemma":[0.3874,0.002948064,0.6049277,0.0002949588,0.00006268268,0.0001740005,0.0001491982,0.00008867835,0.003954722],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003187102,"threshold_uncertainty_score":0.00643158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185099908291765,"score_gpt":0.2439872371263652,"score_spread":0.2254772462971887,"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."}}