{"id":"W4404723323","doi":"10.3390/ma17235782","title":"Toward Sustainable 3D-Printed Sensor: Green Fabrication of CNT-Enhanced PLA Nanocomposite via Solution Casting","year":2024,"lang":"en","type":"article","venue":"Materials","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanocomposite; Fabrication; Materials science; Casting; Nanotechnology; 3d printed; Composite material; Manufacturing engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000191001,0.0001459696,0.0002059202,0.0001518848,0.00005052907,0.00006839188,0.0001187089,0.0001014643,0.00008564593],"category_scores_gemma":[0.00006190248,0.000143606,0.00003402178,0.0001317394,0.00003889385,0.0001129115,0.0001153065,0.00008500047,0.00006150133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104988,"about_ca_system_score_gemma":0.000008471915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002498945,"about_ca_topic_score_gemma":0.000001095591,"domain_scores_codex":[0.9991531,0.00002844823,0.0002753949,0.0001847544,0.00009219029,0.0002661037],"domain_scores_gemma":[0.9996298,0.0000539325,0.00004828441,0.0001860146,0.00006313976,0.00001880495],"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":[0.000008064982,0.000004898382,0.000004580237,0.0009242659,0.00004128475,0.00001229827,0.0003317656,0.0009837925,0.9856896,0.0003058531,0.0001270911,0.01156648],"study_design_scores_gemma":[0.00006679894,0.00002090665,0.0006501113,0.0001525622,0.0000178134,0.00001211142,0.0001352249,0.004013268,0.9934306,0.0006416238,0.0007082017,0.000150755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9002799,0.00009740999,0.09640542,0.00006050531,0.0004395754,0.0001847537,0.00002493187,0.001754493,0.0007529903],"genre_scores_gemma":[0.9959409,0.00001390621,0.003394381,0.000002521167,0.0000964777,0.00002872669,0.00002259264,0.00003260669,0.0004679038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09566097,"threshold_uncertainty_score":0.5856084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536475499688149,"score_gpt":0.226037980413812,"score_spread":0.2106732254169305,"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."}}