{"id":"W2601003173","doi":"","title":"CO 2 emission equivalent as the climate change measure for the electronic waste: The laptop life cycle assessment for Newfoundland and Labrador, Canada","year":2016,"lang":"en","type":"article","venue":"International Journal of Waste Resources","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Laptop; Life-cycle assessment; Climate change; Measure (data warehouse); Electronic waste; Environmental science; Geography; Meteorology; Engineering; Waste management; Oceanography; Computer science; Geology; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.001286231,0.0001175267,0.0001160552,0.00002712876,0.0003045339,0.0001292243,0.0007432649,0.0000282285,0.00004475466],"category_scores_gemma":[0.0001244365,0.00004485471,0.00009062982,0.00004170972,0.0001075364,0.0001385652,0.0001367545,0.0001213539,9.190342e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002972452,"about_ca_system_score_gemma":0.0000546491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007365202,"about_ca_topic_score_gemma":0.0137986,"domain_scores_codex":[0.9985436,0.00007698375,0.0002877833,0.0001349162,0.0007090245,0.0002477161],"domain_scores_gemma":[0.9986912,0.0006860472,0.0003501888,0.0001492085,0.00005824221,0.0000651041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00144683,0.0001788009,0.03416621,0.00006017585,0.001035277,0.00001674615,0.002330311,0.001976495,0.008825302,0.005000568,0.05052894,0.8944343],"study_design_scores_gemma":[0.002632305,0.0008168773,0.02169302,0.000528846,0.0002084644,0.0001162087,0.004192748,0.006761071,0.002101052,0.004956238,0.9556487,0.0003444733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9171922,0.0008749269,0.00382411,0.07575898,0.0004445808,0.0007187118,0.00003458028,0.0000127351,0.001139237],"genre_scores_gemma":[0.9966887,0.001091296,0.00008343276,0.0009910356,0.0006155327,0.00005235154,0.000001038916,0.00001343091,0.0004632371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9051198,"threshold_uncertainty_score":0.9992449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481276371708289,"score_gpt":0.2823738778303314,"score_spread":0.2675611141132485,"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."}}