{"id":"W4294234036","doi":"10.3390/su141710874","title":"Investigating Residents’ Acceptance of Mobile Apps for Household Recycling: A Case Study of New Jersey","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Expectancy theory; Unified theory of acceptance and use of technology; Habit; Information and Communications Technology; ICTS; Structural equation modeling; Business; Mobile apps; Marketing; Solid waste management; Knowledge management; Psychology; Environmental economics; Engineering; Municipal solid waste; Computer science; Social psychology; Waste management; Economics; World Wide Web","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":[0.00110849,0.0002156731,0.0002908582,0.0006631169,0.002881189,0.001468492,0.00105712,0.0007248669,0.001431375],"category_scores_gemma":[0.002550078,0.0004085238,0.0003420603,0.0008834452,0.001198244,0.001162394,0.001481252,0.0009704923,0.0001822925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003042025,"about_ca_system_score_gemma":0.002768787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2450219,"about_ca_topic_score_gemma":0.5461741,"domain_scores_codex":[0.9993593,0.0002269806,0.00003181515,0.00008814419,0.0001409274,0.0001528457],"domain_scores_gemma":[0.9983453,0.0007932996,0.0002786295,0.0001252607,0.0003052361,0.000152302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002804961,0.004445365,0.6629168,0.0001881784,0.00008420419,0.008694053,0.2702154,0.0003447552,0.007412861,0.0007455843,0.001527855,0.04314442],"study_design_scores_gemma":[0.0000298787,0.001355334,0.5200002,0.00006742148,0.000136375,0.001450871,0.4665252,0.001210758,0.001892424,0.0001625327,0.007098306,0.00007070349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994066,0.000009958609,0.00005186736,0.0000684409,8.029743e-7,0.00001449662,0.0000127531,0.000001702655,0.0004334096],"genre_scores_gemma":[0.9979205,0.0001094902,0.0004927015,0.0001853567,0.000001951822,0.00005398326,0.00004376445,0.000004238761,0.001188012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2450219,"threshold_uncertainty_score":0.4871914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307963505891395,"score_gpt":0.3110316524372799,"score_spread":0.2802353018481404,"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."}}