{"id":"W7006151403","doi":"","title":"Staples Canada diverts more than 136,000 kilograms of batteries and two million kilograms of electronics from the waste stream in 2020","year":2021,"lang":"en","type":"other","venue":"","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Kilogram; Electronics; Waste stream; Electronic equipment; Electronic waste","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002049214,0.0003330025,0.0005325524,0.00003388771,0.00003647316,0.00002385203,0.000435717,0.0001454209,0.009783965],"category_scores_gemma":[0.00006661916,0.0002371004,0.00007741746,0.0003264915,0.0004873675,0.00004611602,0.0004735175,0.0002263359,0.000001495771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003156654,"about_ca_system_score_gemma":0.0002270901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9797692,"about_ca_topic_score_gemma":0.9935326,"domain_scores_codex":[0.9979106,0.0002216402,0.0003969913,0.0004823086,0.0006006291,0.000387806],"domain_scores_gemma":[0.9986735,0.0002638016,0.0003090719,0.0006340999,0.000007522272,0.0001119808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006032345,0.0001939514,0.8493203,0.0001573624,0.000170094,0.00002757433,0.001115697,0.0002090168,0.00167989,0.00004050865,0.1327842,0.01424107],"study_design_scores_gemma":[0.002220085,0.0003990509,0.5508885,0.000909739,0.0002018543,0.00000663323,0.008737911,0.0005405568,0.007097039,0.0005783367,0.4268331,0.001587179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738939,0.00307224,0.0001064206,0.002344106,0.0002311543,0.0008399292,0.001669364,0.00004004546,0.01780277],"genre_scores_gemma":[0.9755109,0.001683896,0.0004717707,0.001294167,0.00006798362,0.0000177305,0.000407965,0.0001532255,0.02039234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2984318,"threshold_uncertainty_score":0.9911212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067414843968653,"score_gpt":0.2510742700299042,"score_spread":0.2404001215902176,"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."}}