{"id":"W4404376627","doi":"10.3390/jcs8110473","title":"Hemp Waste Stream Valorization Through Pyrolytic Carbonization for Epoxy Composite Strengthening","year":2024,"lang":"en","type":"article","venue":"Journal of Composites Science","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Pyrolytic carbon; Epoxy; Carbonization; Composite number; Materials science; Waste stream; Composite material; Waste management; Pulp and paper industry; Pyrolysis; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001062192,0.0003276858,0.0001342194,0.0003069355,0.0001497253,0.0001631035,0.0001623297,0.0002208033,0.001546685],"category_scores_gemma":[0.0001053457,0.0001206945,0.0002587235,0.000170245,0.0001363618,0.0003643948,0.0001546054,0.0003912693,0.0003344185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001334661,"about_ca_system_score_gemma":0.0002199238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003046028,"about_ca_topic_score_gemma":0.001871596,"domain_scores_codex":[0.9999193,0.000007722426,0.000005611726,0.00002003509,0.00002826767,0.00001914568],"domain_scores_gemma":[0.9999512,0.000009871798,0.00001355155,0.000007790793,0.00001031823,0.000007135264],"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":[0.00002445319,0.0000247565,0.0001213878,0.0001208695,0.000007047694,0.00006796235,0.0000233235,0.0003095382,0.9933087,0.0001734401,0.00006303817,0.005755456],"study_design_scores_gemma":[0.000001822944,0.00006292653,0.0006354724,0.000005103112,0.000007070281,0.00007306215,0.00001126049,0.0009122001,0.9967412,0.00003679567,0.001509438,0.000003715522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664679,0.002836213,0.02102821,0.0001399266,0.00007794248,0.00008829572,0.0001609245,0.0002140529,0.008986576],"genre_scores_gemma":[0.9883177,0.00126155,0.007558589,0.00003816296,0.00001168209,0.0000200529,0.00006326938,0.00003784738,0.002691145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001546685,"threshold_uncertainty_score":0.00517416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404104911192453,"score_gpt":0.2763109336560265,"score_spread":0.262269884544102,"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."}}