{"id":"W2589787807","doi":"10.3390/recycling2010005","title":"Using Pro-Environmental Information to Modify Conservation Behavior: Paper Recycling and Reuse","year":2017,"lang":"en","type":"article","venue":"Recycling","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Reuse; Signage; Environmental economics; Environmental policy; Business; Computer science; Engineering; Economics; Advertising; Waste management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01035202,0.0005587563,0.0007268341,0.001126854,0.0004511728,0.00161312,0.001171778,0.002139629,0.005797478],"category_scores_gemma":[0.04885988,0.0002611408,0.001133436,0.001282883,0.001909917,0.001680058,0.001147414,0.001728729,0.0004941546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515277,"about_ca_system_score_gemma":0.001330131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003082858,"about_ca_topic_score_gemma":0.002661923,"domain_scores_codex":[0.9903345,0.006592036,0.0003828602,0.0007411523,0.001252615,0.0006969344],"domain_scores_gemma":[0.880429,0.09287052,0.01931208,0.004841087,0.001382394,0.001164914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01282758,0.02550142,0.5544488,0.001452581,0.001930652,0.000548786,0.001017729,0.1001064,0.01266242,0.04346651,0.00239916,0.2436381],"study_design_scores_gemma":[0.001554398,0.01923124,0.6675259,0.0002867669,0.00232309,0.0003322319,0.001490401,0.2209828,0.04209094,0.03553219,0.008403348,0.0002467459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980426,0.0001957911,0.009948352,0.0006220138,0.00003285049,0.0002816113,0.0002225408,0.00005085087,0.008220038],"genre_scores_gemma":[0.9965308,0.00005239097,0.00210185,0.00009421915,0.00001548947,0.00009859028,0.00006008006,0.000003521621,0.001043078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035202,"threshold_uncertainty_score":0.05474734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2186304100113479,"score_gpt":0.2744673217954444,"score_spread":0.05583691178409644,"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."}}