{"id":"W2761958280","doi":"10.1002/pc.24609","title":"Void content analysis and processing issues to minimize defects in liquid composite molding","year":2017,"lang":"en","type":"article","venue":"Polymer Composites","topic":"Epoxy Resin Curing Processes","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Transfer molding; Materials science; Mold; Composite material; Void (composites); Composite number; Molding (decorative); Vinyl ester; Capillary action; Volumetric flow rate; Melt flow index; Polymer","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001076415,0.0002578914,0.0004548489,0.0004162414,0.0002705108,0.0004572841,0.0003623118,0.00006938987,0.00001126028],"category_scores_gemma":[0.00004460276,0.0002658943,0.00006974082,0.0002958802,0.00007002208,0.0003269439,0.0001684587,0.0001418378,0.0000118938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003761703,"about_ca_system_score_gemma":0.000009889194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005161185,"about_ca_topic_score_gemma":0.0002770149,"domain_scores_codex":[0.9988008,0.00002261685,0.0002960085,0.0003288504,0.0001763197,0.0003754149],"domain_scores_gemma":[0.999242,0.00008504167,0.00007781213,0.0003928237,0.00004609975,0.0001562414],"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":[0.0000727213,0.00003848334,0.3085163,0.0003090923,0.0002265914,0.00002838891,0.001172183,0.00297351,0.6835883,0.00003155887,0.00001924977,0.003023599],"study_design_scores_gemma":[0.0003062076,0.00003592472,0.1612537,0.000265972,0.0001707887,0.000006832126,0.00005995453,0.00850707,0.8289838,0.00001329998,0.00004970239,0.0003466887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979207,0.0176509,0.001849845,0.0003215861,0.00008391863,0.0001393111,0.000006097519,0.000210568,0.0005307985],"genre_scores_gemma":[0.9942247,0.0001064698,0.005390408,0.00007043892,0.0000649192,0.00002858373,0.00000498774,0.0000425354,0.00006694207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1472626,"threshold_uncertainty_score":0.9999793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981509909618996,"score_gpt":0.2778451496581635,"score_spread":0.2480300505619736,"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."}}