{"id":"W4393265227","doi":"10.32782/2522-4263/2024-1-3","title":"DIGITAL SOLUTIONS IN ELECTRONIC WASTE MANAGEMENT","year":2024,"lang":"en","type":"article","venue":"Pryazovskyi Economic Herald","topic":"Sustainability and Innovation in Business","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronic waste; Per capita; Business; Analytics; Cloud computing; The Internet; Electronics; Engineering; Environmental economics; Operations management; Waste management; Telecommunications; Computer science; Economics; Electrical engineering; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001995851,0.0006085882,0.0004509584,0.002683214,0.001629329,0.008907106,0.001198138,0.003991503,0.01093432],"category_scores_gemma":[0.002777559,0.0002605789,0.000547413,0.00448091,0.004767069,0.01074661,0.005298536,0.003344364,0.00222426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003234767,"about_ca_system_score_gemma":0.002351756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009186863,"about_ca_topic_score_gemma":0.0009685013,"domain_scores_codex":[0.9975297,0.0008532131,0.0001912262,0.0003016826,0.0009007404,0.0002234397],"domain_scores_gemma":[0.9983803,0.0008869201,0.0001997649,0.0002115531,0.0002314969,0.0000899767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009341166,0.00003911816,0.0001933633,0.0003572793,0.000009048857,0.0001386163,0.0003473858,0.00101694,0.0002546131,0.8858023,0.01079391,0.1010381],"study_design_scores_gemma":[0.00000599651,0.0000353854,0.0002688853,0.0009022473,0.000009595172,0.0003452045,0.0009459832,0.001215046,0.0007312505,0.3712012,0.6243196,0.00001957183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009278891,0.2501209,0.06379314,0.07498465,0.005793304,0.0001639363,0.0001769443,0.0002376672,0.5954506],"genre_scores_gemma":[0.261784,0.4094012,0.07002735,0.01891365,0.007093997,0.0003392572,0.0003965617,0.0001706854,0.2318732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01093432,"threshold_uncertainty_score":0.03657895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188181741229368,"score_gpt":0.2150353615223597,"score_spread":0.2031535441100661,"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."}}