{"id":"W3135512196","doi":"10.17975/sfj-2020-011","title":"Minimizing the Use of Polyethene inside Paper Coffee Cups","year":2020,"lang":"en","type":"article","venue":"STEM Fellowship Journal","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Operations management; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006100074,0.0009118671,0.0004788958,0.000819654,0.0003974296,0.001292714,0.0008291063,0.0005217827,0.001802463],"category_scores_gemma":[0.001058791,0.000287452,0.0004768392,0.0005174606,0.000375947,0.0008314661,0.0006768326,0.0004477636,0.00134086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005347112,"about_ca_system_score_gemma":0.0005221258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005774042,"about_ca_topic_score_gemma":0.002106479,"domain_scores_codex":[0.9991755,0.00009444226,0.00003970952,0.0001476738,0.0004296164,0.000113025],"domain_scores_gemma":[0.9992812,0.0001507754,0.0002180022,0.0000968809,0.0001916759,0.00006143395],"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":[0.0003176433,0.0002303232,0.002342797,0.001253912,0.00005162114,0.0002967593,0.0001602791,0.008493338,0.8946409,0.001509982,0.0009891525,0.08971324],"study_design_scores_gemma":[0.00001649042,0.0009737525,0.004452218,0.00006507825,0.00007571415,0.0002606292,0.0001358851,0.01379839,0.964138,0.000386977,0.01565392,0.00004300991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.769669,0.01013666,0.1960643,0.0003994766,0.0002755251,0.0004229053,0.0002507831,0.0008641821,0.02191723],"genre_scores_gemma":[0.8965137,0.002674641,0.09420916,0.0001051015,0.00005084952,0.00009380555,0.0001496831,0.0001962059,0.006006937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001802463,"threshold_uncertainty_score":0.006029904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1010759860210213,"score_gpt":0.2411942208927012,"score_spread":0.1401182348716799,"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."}}