{"id":"W1936900987","doi":"10.3139/217.1705","title":"Polymer Melt Impregnation of Glass Roving","year":2002,"lang":"en","type":"article","venue":"International Polymer Processing","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; McGill University","keywords":"Materials science; Composite material; Wedge (geometry); Polymer; FOIL method; Thermoplastic; Work (physics); Mechanical engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002172,0.0001241583,0.0001485898,0.0001408871,0.000122005,0.0001600383,0.0003188379,0.00005826621,0.00643931],"category_scores_gemma":[0.00007010359,0.0001164696,0.00005309112,0.0001247392,0.00008195956,0.0006129147,0.00007922376,0.00005140647,0.0002127573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004988166,"about_ca_system_score_gemma":0.00003498324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001060336,"about_ca_topic_score_gemma":0.000007176426,"domain_scores_codex":[0.9985932,0.00004073256,0.0004176105,0.0002426526,0.0005129262,0.0001929404],"domain_scores_gemma":[0.9992837,0.00003907427,0.0002873612,0.0001393657,0.0002019469,0.00004854391],"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":[0.000009522072,0.00007052283,0.0001677119,0.00002468174,0.000008638078,0.000001187993,0.0005904675,0.00005640969,0.9608175,0.001066334,0.0002154988,0.03697155],"study_design_scores_gemma":[0.0002954329,0.00001917968,0.0006143342,0.0001047811,0.00001774013,0.00001323977,0.00009579241,0.01108483,0.9869869,0.0002558974,0.0003662949,0.0001456173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770945,0.002742611,0.003226201,0.001725508,0.001562148,0.0001046836,0.00005545863,0.000123048,0.01336587],"genre_scores_gemma":[0.9968328,0.00001220332,0.0004377285,0.0001579719,0.0002965628,0.00001801153,0.0000122085,0.00001921782,0.002213325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03682593,"threshold_uncertainty_score":0.9944689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288770814514757,"score_gpt":0.2794450696810725,"score_spread":0.2505679882295967,"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."}}