{"id":"W2738392135","doi":"10.1002/pen.24682","title":"Microinjection molding of polypropylene/multi‐walled carbon nanotube nanocomposites: The influence of process parameters","year":2017,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; U.S. Department of Energy","keywords":"Materials science; Polypropylene; Masterbatch; Composite material; Molding (decorative); Carbon nanotube; Differential scanning calorimetry; Nanocomposite; Scanning electron microscope; Mold; Shearing (physics)","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":[0.0001385259,0.0004412269,0.0002179127,0.0001815129,0.0001169119,0.0002049731,0.000186493,0.0001747375,0.0005907079],"category_scores_gemma":[0.0001979121,0.0001987981,0.0001849265,0.000155875,0.000180759,0.0002133364,0.0001270662,0.0002958414,0.0001381427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002073051,"about_ca_system_score_gemma":0.0001430214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000348658,"about_ca_topic_score_gemma":0.0008883481,"domain_scores_codex":[0.9998903,0.000006291195,0.000009298725,0.00004125424,0.00003592361,0.00001699772],"domain_scores_gemma":[0.9997888,0.0000511138,0.00009801761,0.0000253478,0.00001971276,0.00001709771],"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":[0.00002436531,0.0000121633,0.00006941731,0.00001730788,0.00000160308,0.00001746156,0.00001233204,0.0002212536,0.9986034,0.00002480288,0.000006145422,0.000989869],"study_design_scores_gemma":[0.000001026687,0.00004343758,0.0004494366,8.660264e-7,0.000002390952,0.000008760881,0.000001742947,0.0006988979,0.9986526,0.000003209373,0.0001364717,0.000001195078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991413,0.000291932,0.007169412,0.00001391312,0.00002446012,0.00004869303,0.0001283319,0.0001395006,0.0007708318],"genre_scores_gemma":[0.9883364,0.0002575821,0.01019554,0.000007692521,0.000008215687,0.00004463225,0.00009514276,0.00005175921,0.001002971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005907079,"threshold_uncertainty_score":0.001976132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00984440726909818,"score_gpt":0.2482968405182754,"score_spread":0.2384524332491772,"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."}}