{"id":"W3013738418","doi":"10.1177/0021998320913625","title":"High flow compression molding for recycling discontinuous long fiber thermoplastic composites","year":2020,"lang":"en","type":"article","venue":"Journal of Composite Materials","topic":"Composite Material Mechanics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation; Université de Moncton","keywords":"Materials science; Composite material; Compression molding; Ultimate tensile strength; Molding (decorative); Shearing (physics); Perpendicular; Mold; Weld line; Flow (mathematics); Modulus; Anisotropy; Transverse plane; Compression (physics); Thermoplastic; Welding; Structural 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002585691,0.0003415836,0.0001794937,0.0002224792,0.0001494199,0.0001750126,0.0001899179,0.0001785791,0.0008750128],"category_scores_gemma":[0.0001981541,0.0001465285,0.0001957936,0.0001439022,0.0002336078,0.0002068512,0.0001251518,0.000335941,0.0001323498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676422,"about_ca_system_score_gemma":0.00015716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003595795,"about_ca_topic_score_gemma":0.000994314,"domain_scores_codex":[0.9998633,0.00001935179,0.000006481495,0.00002253648,0.00006770466,0.00002065419],"domain_scores_gemma":[0.9998375,0.00005283233,0.00005655819,0.0000247162,0.00001686363,0.0000114404],"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":[0.00004256599,0.00002817997,0.0001948307,0.00007075269,0.000002613775,0.00005987645,0.00001696001,0.0003931222,0.9943343,0.00005736316,0.00001356123,0.004785842],"study_design_scores_gemma":[0.000004475497,0.0002323995,0.0023173,0.000003746821,0.000005092922,0.00008625112,0.000005035556,0.0007978078,0.9962091,0.00001160062,0.0003239763,0.000003108734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845537,0.0007326799,0.01352944,0.00002323182,0.00001257339,0.00004053537,0.00005216462,0.0001447216,0.0009109666],"genre_scores_gemma":[0.987605,0.0002954298,0.0111931,0.00001337802,0.000006165117,0.00001824778,0.00006277897,0.00002644998,0.0007795237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008750128,"threshold_uncertainty_score":0.002927244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307209595511924,"score_gpt":0.2156755482781665,"score_spread":0.2026034523230472,"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."}}