{"id":"W3216131855","doi":"10.1080/09640568.2021.2000373","title":"Predicting residents’ adoption of living environment improvement practices toward sustainable development: the role of internet use","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Planning and Management","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Social Science Fund of China","keywords":"The Internet; Multivariate probit model; Endogeneity; Context (archaeology); Business; Counterfactual thinking; Ordered probit; Survey data collection; Probit model; Scale (ratio); Sustainable living; Marketing; Public economics; Environmental economics; Sustainability; Economics; Geography; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009844104,0.0001830538,0.0002415164,0.00006925987,0.0001320063,0.00005040654,0.0002373568,0.00005163254,0.0004679283],"category_scores_gemma":[0.0001517576,0.0001487322,0.00008608486,0.00008605259,0.0002163827,0.0005861467,0.000827298,0.0001950185,0.000006345482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004577896,"about_ca_system_score_gemma":0.0000177724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001027407,"about_ca_topic_score_gemma":0.000003048106,"domain_scores_codex":[0.9978992,0.0001336922,0.000776579,0.0002721472,0.0006481694,0.0002701582],"domain_scores_gemma":[0.9981377,0.0001844293,0.00131425,0.0002498039,0.000007987457,0.0001059018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001016565,0.0009124936,0.9604527,0.0002365839,0.0002216169,0.00006330033,0.009902728,0.002866814,0.01343946,0.0001124832,0.0002086246,0.01148152],"study_design_scores_gemma":[0.0002544588,0.0002050443,0.8903164,0.0001825327,0.0001035297,0.00003509437,0.09149459,0.0001583724,0.007404399,0.00009837858,0.009603581,0.000143577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973478,0.0009958689,0.0003316888,0.0001298789,0.00006291913,0.0002747411,0.0000029272,0.000004176145,0.0008500433],"genre_scores_gemma":[0.9945693,0.0007660473,0.002901688,0.00007078944,0.00001977066,0.00001161793,0.000004356555,0.00001433339,0.00164209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08159187,"threshold_uncertainty_score":0.6065123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131136369904548,"score_gpt":0.2334198063503705,"score_spread":0.222108442651325,"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."}}