{"id":"W4388496837","doi":"10.1115/1.4064042","title":"Reducing Waste Outflow to Motivate Water Conservation","year":2023,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Outflow; Psychological intervention; Inflow; Environmental science; Sink (geography); Resource (disambiguation); Environmental economics; Computer science; Business; Psychology; Economics","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":[0.00102337,0.0003196659,0.0003163057,0.0002366143,0.0003128156,0.0004366906,0.0005977645,0.000438079,0.006687879],"category_scores_gemma":[0.003315108,0.0001288469,0.000364686,0.0001297566,0.0002900472,0.0004115514,0.0006293884,0.000520649,0.0004668447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003264906,"about_ca_system_score_gemma":0.0006785522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008199555,"about_ca_topic_score_gemma":0.00170952,"domain_scores_codex":[0.9993294,0.0003886923,0.00003809222,0.00006438165,0.0001226649,0.00005667704],"domain_scores_gemma":[0.9986433,0.0008919014,0.0001456801,0.00007235461,0.0001025797,0.0001440224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005413829,0.08293088,0.02886335,0.004343395,0.0002948226,0.0003481966,0.00345637,0.00476025,0.1112707,0.002562332,0.008643452,0.7471124],"study_design_scores_gemma":[0.009301509,0.1542398,0.2893707,0.004039979,0.00176931,0.0007814204,0.007707648,0.09192243,0.3032466,0.01080706,0.1264601,0.0003534573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726465,0.0002857221,0.01716286,0.001401448,0.0001423432,0.0009760165,0.0001547109,0.0005146217,0.006715738],"genre_scores_gemma":[0.9499692,0.0003239403,0.04493415,0.0005419976,0.00003682448,0.001274633,0.0001101038,0.00003183187,0.002777379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006687879,"threshold_uncertainty_score":0.0223732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012088555615202,"score_gpt":0.2646135389292896,"score_spread":0.2344926533731376,"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."}}