{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003124622,0.000361909,0.0009354856,0.0001340566,0.0000928982,0.0003645941,0.0004481919,0.0001263943,0.0004203323],"category_scores_gemma":[0.00005114838,0.0003185845,0.0001852352,0.0001296353,0.00002308224,0.0003231374,0.000117947,0.000183502,0.00006002488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007755963,"about_ca_system_score_gemma":0.00001403572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002473113,"about_ca_topic_score_gemma":3.243033e-7,"domain_scores_codex":[0.997843,0.0001102313,0.001160759,0.0002004462,0.0003064758,0.0003791345],"domain_scores_gemma":[0.9986818,0.0002966092,0.0004358387,0.0001854714,0.0001704273,0.0002298047],"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":[0.0005534001,0.00002811979,0.00001780654,0.0003005767,0.0001386022,0.00004200621,0.0002858588,0.1022097,0.8945184,0.0000315414,0.0004455728,0.001428412],"study_design_scores_gemma":[0.001512117,0.0003573719,0.0002618771,0.0006832513,0.0001809716,0.00009894308,0.00001918867,0.02845317,0.9665315,0.0002032924,0.00130082,0.0003975101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515195,0.0004413528,0.04394702,0.0002958493,0.003116854,0.0003773394,0.0001164082,0.0001402647,0.00004541942],"genre_scores_gemma":[0.9717003,0.00005503272,0.0264785,0.00009764005,0.001506366,0.000005799206,0.00002972763,0.0001146606,0.00001201003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0737565,"threshold_uncertainty_score":0.9999266,"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."}}