{"id":"W4409713227","doi":"10.3390/jcs9040178","title":"Optimizing Conductive Polymer Composites: The Role of Graphite Particle Size and Concentration in PVDF, PP, and PET Matrices","year":2025,"lang":"en","type":"article","venue":"Journal of Composites Science","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Centre de Recherche sur les Systèmes Polymères et Composites à Haute Performance","keywords":"Composite material; Graphite; Materials science; Polymer; Particle size; Electrical conductor; Particle (ecology); Chemical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004452643,0.0007357859,0.0003035401,0.0004490729,0.0002561339,0.0005518179,0.0002832859,0.0005117813,0.0004709752],"category_scores_gemma":[0.0008763754,0.0003240303,0.0002799205,0.0004018703,0.0002142112,0.0006566335,0.000254658,0.0004942444,0.0002542063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002187608,"about_ca_system_score_gemma":0.0002103726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005119606,"about_ca_topic_score_gemma":0.001595828,"domain_scores_codex":[0.9995126,0.00008714543,0.00005415619,0.0001557297,0.000136023,0.00005426253],"domain_scores_gemma":[0.9994434,0.0002009204,0.0001507392,0.00003345775,0.0001205416,0.00005095046],"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":[0.00005984928,0.00003057741,0.0002447961,0.0001017182,0.000008630094,0.00006261644,0.00002337553,0.0002279866,0.9970399,0.00002996152,0.00001833308,0.002152128],"study_design_scores_gemma":[0.00000634753,0.0002525006,0.002311672,0.0000127924,0.00003572163,0.0001172273,0.00003817897,0.0008118998,0.9956537,0.00001979949,0.0007303994,0.000009675708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903553,0.002411843,0.005296625,0.00006900091,0.00003656156,0.00004972842,0.0001045404,0.00009426748,0.001582126],"genre_scores_gemma":[0.9880896,0.001394958,0.009637848,0.00004161577,0.00001486919,0.00006472797,0.00009352188,0.00005042933,0.0006123484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007357859,"threshold_uncertainty_score":0.002354801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005734842616151668,"score_gpt":0.2266116403102679,"score_spread":0.2208767976941162,"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."}}