{"id":"W2789999280","doi":"10.1002/pat.4282","title":"Microinjection molding of multiwalled carbon nanotubes (<scp>CNT</scp>)–filled polycarbonate nanocomposites and comparison with electrical and morphological properties of various other <scp>CNT</scp>‐filled thermoplastic micromoldings","year":2018,"lang":"en","type":"article","venue":"Polymers for Advanced Technologies","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Materials science; Masterbatch; Composite material; Nanocomposite; Polycarbonate; Carbon nanotube; Molding (decorative); Thermoplastic; Polymer; Polybutylene terephthalate; Polyester","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":[0.0001422273,0.0002976532,0.0001339684,0.000252118,0.000106152,0.0001675992,0.0001462182,0.000195132,0.0003988688],"category_scores_gemma":[0.0002305696,0.0001626362,0.000209379,0.0001409843,0.0002012481,0.000211228,0.00009328735,0.0002373217,0.0001113998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001465637,"about_ca_system_score_gemma":0.00008441543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003189016,"about_ca_topic_score_gemma":0.0008587578,"domain_scores_codex":[0.9999017,0.000006639897,0.000008210806,0.00003342036,0.00003199042,0.00001811264],"domain_scores_gemma":[0.9997174,0.0000773471,0.0001095549,0.00002971714,0.00003361941,0.00003242414],"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":[0.00001224566,0.0000056451,0.00005544344,0.0000110457,0.000001312678,0.00002050388,0.0000105606,0.00006738801,0.999326,0.00001538976,0.000003623899,0.0004709379],"study_design_scores_gemma":[9.988804e-7,0.00006159496,0.001108242,0.000001054891,0.000002886337,0.00001734421,0.000003194494,0.0004591584,0.9982359,0.000002799247,0.0001052115,0.00000157938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955652,0.0002636366,0.003542613,0.00001079306,0.00001768096,0.00002573347,0.00008831412,0.00008794406,0.0003980855],"genre_scores_gemma":[0.9929816,0.0002054282,0.005931484,0.000007999976,0.000007689804,0.00002529745,0.00008195155,0.00003637109,0.0007222209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003988688,"threshold_uncertainty_score":0.001334369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009571834548363063,"score_gpt":0.2077023152406611,"score_spread":0.198130480692298,"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."}}