{"id":"W1503929069","doi":"","title":"IT Waste Management in Canada: From Cost Recovery to Resource Conservation?","year":2006,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Extended producer responsibility; Electronic waste; Resource recovery; Business; Waste management; Resource (disambiguation); Solid waste management; Municipal solid waste; Resource management (computing); Environmental planning; Natural resource economics; Environmental economics; Environmental resource management; Environmental science; Engineering; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001381057,0.000403334,0.0003020487,0.002725717,0.01041305,0.009664962,0.001624951,0.002197665,0.007829671],"category_scores_gemma":[0.004839913,0.0002270958,0.0003513322,0.00676127,0.005100319,0.002861997,0.002191148,0.001710639,0.0004058548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1298095,"about_ca_system_score_gemma":0.2701142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944308,"about_ca_topic_score_gemma":0.9974152,"domain_scores_codex":[0.9960133,0.0002870497,0.00008953494,0.0001701056,0.001944746,0.001495293],"domain_scores_gemma":[0.9972323,0.0002728254,0.0001778542,0.00008394317,0.001565032,0.0006680319],"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":[0.00009852801,0.0001144614,0.02403047,0.0007623104,0.00005455221,0.001163446,0.006380534,0.003151593,0.0009764046,0.3805956,0.1231158,0.4595563],"study_design_scores_gemma":[0.00002802358,0.0000802322,0.0542149,0.001685468,0.00009619862,0.0005304067,0.04667844,0.003066747,0.002093859,0.04027458,0.8511177,0.0001335426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1701885,0.06017688,0.004002932,0.3147092,0.001151101,0.0002010415,0.0009317483,0.0002111743,0.4484274],"genre_scores_gemma":[0.7748491,0.05816806,0.005113518,0.01869483,0.0001942892,0.00005111768,0.0004662285,0.00008802952,0.1423749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1298095,"threshold_uncertainty_score":0.941838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009180082888719404,"score_gpt":0.2116840249957433,"score_spread":0.2025039421070239,"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."}}