{"id":"W3158303952","doi":"10.1016/j.fbp.2021.04.012","title":"Experimental exploration of processes for deriving multiple products from spent coffee grounds","year":2021,"lang":"en","type":"article","venue":"Food and Bioproducts Processing","topic":"Coffee research and impacts","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Lingnan Normal University","keywords":"Coffee grounds; Engineering; Environmental science; Agricultural 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":[0.0006213756,0.0004875301,0.0003592228,0.0003225798,0.0007611564,0.0008170343,0.0005871559,0.0006999689,0.003914109],"category_scores_gemma":[0.001089288,0.0002539871,0.0005523312,0.0004014944,0.0006258511,0.0008014112,0.0005375558,0.0009116443,0.0005827586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004819694,"about_ca_system_score_gemma":0.0008351369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009730152,"about_ca_topic_score_gemma":0.001460387,"domain_scores_codex":[0.9996227,0.00005636164,0.0000195189,0.0001160197,0.0001028933,0.00008245396],"domain_scores_gemma":[0.9994701,0.0002279625,0.00006883191,0.0001033508,0.00008116377,0.00004861411],"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":[0.001413455,0.00065589,0.0008542231,0.0002555058,0.00002164909,0.0001292022,0.0001534441,0.0006924878,0.9860054,0.000987511,0.00007241726,0.008758818],"study_design_scores_gemma":[0.00004021768,0.001323816,0.001251316,0.00001001856,0.0000328336,0.00005593142,0.0001081359,0.001293823,0.9944371,0.0002466241,0.001191239,0.000009054256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863003,0.0002302763,0.01044116,0.00006709255,0.00002586207,0.0001718756,0.0002366878,0.0000404837,0.002486238],"genre_scores_gemma":[0.9842168,0.0003059635,0.012516,0.00003257435,0.00001093457,0.0001295478,0.0001828637,0.00003561375,0.002569735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003914109,"threshold_uncertainty_score":0.01309401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09431788987546175,"score_gpt":0.3309125084270165,"score_spread":0.2365946185515547,"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."}}