{"id":"W1984838070","doi":"10.1016/s0278-6125(01)80045-5","title":"Quality analysis and optimization of Solid Ground Curing process","year":2001,"lang":"en","type":"article","venue":"Journal of Manufacturing Systems","topic":"Epoxy Resin Curing Processes","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Design of experiments; Quality (philosophy); Curing (chemistry); Process (computing); Engineering; Artificial neural network; Structural engineering; Computer science; Mechanical engineering; Materials science; Mathematics; Artificial intelligence; Composite material; Statistics","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":[0.001127067,0.0003946764,0.0005593163,0.0008343887,0.0003985783,0.0008670808,0.0004218949,0.0004170682,0.00131176],"category_scores_gemma":[0.001444441,0.000310453,0.0006154651,0.0007825042,0.0003409835,0.0005142525,0.0003864642,0.0003526894,0.000164151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000747225,"about_ca_system_score_gemma":0.000490691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00171822,"about_ca_topic_score_gemma":0.002204136,"domain_scores_codex":[0.998827,0.0001891832,0.00004282092,0.000121878,0.0007331338,0.0000859574],"domain_scores_gemma":[0.9986103,0.0003166955,0.0002953413,0.0001495099,0.00059265,0.00003555232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007148438,0.0001492491,0.006364584,0.0002257598,0.00005366193,0.0000731695,0.0001151617,0.04470181,0.8803979,0.001013795,0.0002244545,0.06596565],"study_design_scores_gemma":[0.00004367471,0.000827822,0.0137254,0.000009814536,0.0001176053,0.00008338744,0.00005922564,0.09861577,0.885183,0.0003496541,0.000964424,0.00002007526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8724108,0.0009408117,0.1241771,0.0000525359,0.00001814732,0.00005330905,0.0001341993,0.0003885667,0.001824625],"genre_scores_gemma":[0.9824178,0.0001905136,0.016313,0.00000820308,0.000004755554,0.00001131562,0.000146061,0.00009987776,0.0008083984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00171822,"threshold_uncertainty_score":0.005960584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198758971585194,"score_gpt":0.2858839807637072,"score_spread":0.2660080836051879,"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."}}