{"id":"W4366446345","doi":"10.1002/mame.202300001","title":"High Thermal Conductivity Polymer Composites Fabrication through Conventional and 3D Printing Processes: State‐of‐the‐Art and Future Trends","year":2023,"lang":"en","type":"article","venue":"Macromolecular Materials and Engineering","topic":"Thermal properties of materials","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Materials science; Thermal conductivity; Composite material; Fabrication; Compression molding; Molding (decorative); Polymer; Composite number; Nanocomposite; Electrical conductor; Polymer nanocomposite; Thermal; Particle (ecology); Conductivity; Mold","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003087168,0.0001790864,0.0002635599,0.00004281775,0.0001191767,0.0001730122,0.0001126248,0.00005289699,0.0001728925],"category_scores_gemma":[0.00003019543,0.0001371251,0.00001828189,0.0001122853,0.0001120673,0.0002405917,0.0002452991,0.00004187287,0.000009055359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008523386,"about_ca_system_score_gemma":0.00001240311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006075208,"about_ca_topic_score_gemma":8.339673e-7,"domain_scores_codex":[0.9990135,0.00006485605,0.0002718805,0.0002657054,0.0001537689,0.0002302253],"domain_scores_gemma":[0.9996188,0.00002656851,0.0001144019,0.0001516555,0.00004896228,0.00003958248],"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":[0.00002623161,0.000009632045,0.00008787135,0.0004434437,0.00001638721,0.000002973591,0.0002794295,0.0001378336,0.9982046,0.0002810417,0.00001168494,0.000498795],"study_design_scores_gemma":[0.0002623447,0.00002516397,0.01556412,0.00007574081,0.00001956415,0.00002255324,0.00002357713,0.00004816738,0.9833531,0.00003815465,0.0004023864,0.0001650811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982781,0.0004704144,0.0001239499,0.0002339816,0.0005539142,0.0001354544,0.00008650836,0.0001011113,0.00001650117],"genre_scores_gemma":[0.9988097,0.00006449013,0.0008247988,0.00002649578,0.0001361658,0.00002259395,0.00001747557,0.00002948806,0.00006878498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01547624,"threshold_uncertainty_score":0.5591798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007573582109770002,"score_gpt":0.2000164048810924,"score_spread":0.1924428227713224,"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."}}