{"id":"W4402537378","doi":"10.2139/ssrn.4956723","title":"Probabilistic Rewards Increase Reusable Mug Use","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Probabilistic logic; Computer science; Business; Artificial intelligence","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":[0.001161812,0.000704366,0.0005371876,0.0005253319,0.0002967683,0.001216318,0.0005817832,0.001137894,0.01450935],"category_scores_gemma":[0.01366964,0.0003571332,0.0005813623,0.0004457261,0.0004398423,0.00149897,0.001279803,0.000772015,0.001875284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006435976,"about_ca_system_score_gemma":0.0007294672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087338,"about_ca_topic_score_gemma":0.001912961,"domain_scores_codex":[0.9993145,0.0001699432,0.00002551832,0.0001527943,0.000177282,0.0001599866],"domain_scores_gemma":[0.9910874,0.005412064,0.001086325,0.001248865,0.000547017,0.0006183901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01673401,0.004082728,0.05878622,0.001028456,0.0007232041,0.000824917,0.0006089385,0.3062224,0.1027165,0.03613742,0.006329034,0.4658062],"study_design_scores_gemma":[0.00055161,0.007194066,0.1423591,0.000162229,0.0007338913,0.0005938365,0.0008970129,0.5890561,0.05400981,0.1889619,0.01530044,0.0001800027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9321246,0.0007407341,0.0539749,0.0005943684,0.0001700731,0.00005022664,0.0003809107,0.001024292,0.0109399],"genre_scores_gemma":[0.9880045,0.0001648573,0.004497101,0.000067937,0.00002558909,0.00001992228,0.0001173121,0.0001356031,0.006967232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01450935,"threshold_uncertainty_score":0.04853863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009829792080644257,"score_gpt":0.2173537629824206,"score_spread":0.2075239709017764,"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."}}