{"id":"W118935864","doi":"10.5353/th_b4854379","title":"Environmental levy and green citizenship on plastic shopping bags behaviours in Hong Kong","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Climate Change and Sustainable Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Plastic bag; Incentive; Government (linguistics); Business; Marketing; Advertising; Political science; Engineering; Economics; Law","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":[0.0007945453,0.0001971155,0.0001750973,0.000357079,0.0008010223,0.0008676291,0.0001953017,0.0002872369,0.002232558],"category_scores_gemma":[0.001334468,0.0001950126,0.0004445139,0.0005914493,0.0005726031,0.000447626,0.000561755,0.0004656632,0.00021528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525494,"about_ca_system_score_gemma":0.00164213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1489105,"about_ca_topic_score_gemma":0.160298,"domain_scores_codex":[0.9996191,0.0001085355,0.00004505279,0.00004132581,0.00007694635,0.0001089468],"domain_scores_gemma":[0.9983216,0.0003213224,0.0005631032,0.0000728551,0.0002752855,0.0004458236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008494577,0.0003616517,0.9864594,0.00005950372,0.00004013599,0.0002942954,0.007165506,0.0001057446,0.0002952774,0.0001410166,0.0003148996,0.00467754],"study_design_scores_gemma":[0.000002555413,0.0001000193,0.9923333,0.00002315694,0.00001216434,0.00002910934,0.00677072,0.0001232093,0.00007781665,0.00001660558,0.0005032812,0.000008118686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993196,0.0000416502,0.000008435582,0.00004881691,0.000002013737,0.00000434776,0.00002740227,5.098346e-7,0.0005473184],"genre_scores_gemma":[0.9992791,0.00009095961,0.00002514146,0.00003189288,0.000001607784,0.000004935854,0.00003679228,5.231452e-7,0.0005291537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1489105,"threshold_uncertainty_score":0.2960874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188671217689562,"score_gpt":0.2317490447229625,"score_spread":0.2128819229540063,"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."}}