{"id":"W2075825494","doi":"10.1080/10042857.2007.10677497","title":"Empirical Study on Factors Influencing Residents' Behavior of Separating Household Wastes at Source","year":2007,"lang":"en","type":"article","venue":"Chinese Journal of Population Resources and Environment","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Exploratory factor analysis; Household waste; Premise; China; Feeling; Questionnaire; Order (exchange); Descriptive statistics; Business; Separation (statistics); Marketing; Psychology; Social psychology; Sociology; Political science; Engineering; Waste management; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00102199,0.000188158,0.0001500293,0.0004823959,0.0008304066,0.000547675,0.0003755718,0.0004169426,0.00217289],"category_scores_gemma":[0.004512302,0.0002237447,0.0002938425,0.0007432038,0.0005187372,0.000419389,0.0003257686,0.0005539873,0.0002280335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005777825,"about_ca_system_score_gemma":0.001135459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01974854,"about_ca_topic_score_gemma":0.04298483,"domain_scores_codex":[0.9994408,0.000261037,0.00004728986,0.00005987532,0.0000939977,0.00009689516],"domain_scores_gemma":[0.9957016,0.001919457,0.001029235,0.0001748394,0.0006169749,0.0005578679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008882236,0.0006398553,0.989682,0.00001991656,0.00002431735,0.0001248448,0.005123863,0.00005753779,0.0004079991,0.00007912321,0.000112642,0.003639128],"study_design_scores_gemma":[0.000006540681,0.0003032743,0.9682311,0.000016986,0.00003653861,0.0001496374,0.02996903,0.0003892174,0.0003453196,0.00006570305,0.0004775449,0.000009206709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99963,0.000008965474,0.000027575,0.00001743241,6.403948e-7,0.000003939374,0.0000184578,4.888934e-7,0.0002925608],"genre_scores_gemma":[0.9993333,0.00003558532,0.0001473489,0.00001723042,0.000001120042,0.00000761114,0.00005617075,7.137554e-7,0.0004009967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01974854,"threshold_uncertainty_score":0.03926718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891617350180172,"score_gpt":0.300056349698263,"score_spread":0.2811401761964613,"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."}}