{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001535723,0.0005158305,0.0008515757,0.0005032236,0.0002365599,0.00005440111,0.0002800758,0.0003833144,0.000001685076],"category_scores_gemma":[0.0004230909,0.0003839064,0.00009239831,0.0005055247,0.0009285897,0.0001805729,0.000129273,0.0003255496,4.492721e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006707007,"about_ca_system_score_gemma":0.00002706692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001288606,"about_ca_topic_score_gemma":0.00002545689,"domain_scores_codex":[0.9979814,0.00003627613,0.0005903011,0.0005425396,0.0002166872,0.00063278],"domain_scores_gemma":[0.9988354,0.0003559738,0.0002848743,0.0002780392,0.000189001,0.00005674722],"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":[0.0001872762,0.00007234768,0.002849938,0.0003484663,0.0002248841,0.000002322181,0.00133641,0.0008087902,0.9874263,0.0001105181,0.00001558135,0.006617182],"study_design_scores_gemma":[0.00165796,0.001479474,0.0002857684,0.0002922977,0.0001125712,0.0000981541,0.002248945,0.01546385,0.9777291,0.0001827951,0.0002738799,0.0001752283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788905,0.01776516,0.001148783,0.00002549194,0.000169108,0.0007568492,0.00001726619,0.001023888,0.0002029199],"genre_scores_gemma":[0.992461,0.0005680316,0.006539047,0.00001213789,0.00002661278,0.0001827289,0.00000304003,0.00009793959,0.0001094091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01719713,"threshold_uncertainty_score":0.9998613,"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."}}