{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002702723,0.000172138,0.0001747381,0.00005052932,0.0001050694,0.00007728768,0.0003852263,0.00004371992,0.0008332881],"category_scores_gemma":[0.00001447965,0.0001814912,0.00003583473,0.0003316749,0.0000393621,0.000174488,0.0003113126,0.0001437283,0.0004560443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059532,"about_ca_system_score_gemma":0.00002296145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9649637,"about_ca_topic_score_gemma":0.9783272,"domain_scores_codex":[0.9983187,0.0000692388,0.0003654114,0.0004601879,0.0004241086,0.0003622976],"domain_scores_gemma":[0.9992743,0.00005951303,0.00007590939,0.0004628829,0.000004750746,0.0001226373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000506244,0.00007231029,0.1200998,0.00001164374,0.00002077745,0.0001113037,0.00003102789,0.02102518,0.0003112815,0.001489413,0.8452661,0.01151058],"study_design_scores_gemma":[0.0003603702,0.00002429117,0.1101505,0.00007539427,0.0000132103,5.400014e-7,0.000253503,0.0004495199,0.001062552,0.001943547,0.8853559,0.0003107065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6581594,0.00003187861,0.0007238348,0.004970446,0.0001558626,0.0008029759,0.0000301306,0.0001039967,0.3350215],"genre_scores_gemma":[0.9607686,0.00002540465,0.006629136,0.01664925,0.0001092564,0.0001661603,0.00007562954,0.00003352489,0.01554306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3194784,"threshold_uncertainty_score":0.912392,"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."}}