{"id":"W2131529888","doi":"10.1109/isaom.2001.916576","title":"Effective applications of computer-vision techniques in packaging design concept evaluation","year":2002,"lang":"en","type":"article","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Test data; Experimental data; Computer science; Reliability (semiconductor); Strain energy density function; Curvature; Shearing (physics); Consistency (knowledge bases); Structural engineering; Reliability engineering; Mechanical engineering; Finite element method; Engineering; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002257001,0.0008169038,0.0007925626,0.003241268,0.0003561637,0.001709756,0.000975925,0.00114774,0.004270815],"category_scores_gemma":[0.006982223,0.000405253,0.0003976761,0.001531411,0.0007731834,0.001606894,0.0008829988,0.0005918421,0.001337122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006969506,"about_ca_system_score_gemma":0.0005323765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072968,"about_ca_topic_score_gemma":0.001024088,"domain_scores_codex":[0.9982808,0.0006460288,0.0000742145,0.0001546139,0.0007628507,0.00008149609],"domain_scores_gemma":[0.9980385,0.001087527,0.0001072261,0.0001634917,0.0005624123,0.00004088924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008224872,0.00007838272,0.0006301374,0.0002087431,0.00003925033,0.00009164035,0.00007981108,0.03208875,0.01643892,0.01624882,0.00222097,0.9317924],"study_design_scores_gemma":[0.00004036316,0.0001919616,0.002367458,0.00009749352,0.00004622045,0.0003700379,0.000155229,0.9144803,0.03195117,0.03444289,0.01579854,0.00005843648],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00661611,0.001013806,0.9873492,0.0001842204,0.00003465112,0.00009937822,0.00003585995,0.0007087454,0.00395805],"genre_scores_gemma":[0.1465068,0.001297266,0.8494356,0.0001336411,0.00005149876,0.000225191,0.0001070754,0.0001107165,0.002132261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004270815,"threshold_uncertainty_score":0.01428729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05231756357817833,"score_gpt":0.3158495071910511,"score_spread":0.2635319436128728,"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."}}