{"id":"W4200227994","doi":"10.1016/j.compositesa.2021.106759","title":"Biocarbon from spent coffee ground and their sustainable biocomposites with recycled water bottle and bale wrap: A new life for waste plastics and waste food residues for industrial uses","year":2021,"lang":"en","type":"article","venue":"Composites Part A Applied Science and Manufacturing","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"Materials science; Biocomposite; Composite material; Flexural strength; Bottle; Flexural modulus; Ultimate tensile strength; Young's modulus; Dynamic mechanical analysis; Polymer; Composite number","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":[0.000112888,0.0003816619,0.0001603434,0.0002241283,0.0002525156,0.0005881159,0.00014689,0.0002753702,0.001095798],"category_scores_gemma":[0.0001331826,0.0001520472,0.0002074024,0.0002139426,0.0002352843,0.0004637353,0.0003695382,0.0003462266,0.0003370588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002786264,"about_ca_system_score_gemma":0.0003024857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007446035,"about_ca_topic_score_gemma":0.002582745,"domain_scores_codex":[0.9998848,0.00001249129,0.000007045483,0.00001933745,0.00004072054,0.00003556305],"domain_scores_gemma":[0.9999597,0.00000366419,0.000008032957,0.000006397388,0.00001098839,0.00001131274],"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":[0.000201231,0.00003652574,0.0003338537,0.0001685971,0.00001741895,0.0003210845,0.0001106807,0.0002603107,0.9794189,0.001367991,0.0002521481,0.01751125],"study_design_scores_gemma":[0.000001964646,0.000115252,0.0009021397,0.00001283126,0.0000126405,0.0001197247,0.00007742346,0.0001565937,0.9896967,0.0001524678,0.008744434,0.000007815258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767814,0.007288737,0.002779926,0.0001581107,0.0002053549,0.00001826427,0.0001236768,0.00007410507,0.01257039],"genre_scores_gemma":[0.9872251,0.002087386,0.001265535,0.00005924996,0.0000170763,0.000007567666,0.00007874995,0.00003443744,0.00922489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001095798,"threshold_uncertainty_score":0.003665805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187080438657438,"score_gpt":0.198756998498496,"score_spread":0.1768861941119217,"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."}}