{"id":"W6962477690","doi":"10.17605/osf.io/6y9uk","title":"Encouraging Beverage Recycling with Probabilistic Rewards","year":2023,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Probabilistic logic; Container (type theory); Work (physics); Incentive","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.009141822,0.001605002,0.001739153,0.001288897,0.0003225081,0.0003857057,0.003085607,0.00114414,0.6817935],"category_scores_gemma":[0.01329401,0.001667216,0.0004937858,0.001360083,0.0006164741,0.0003419084,0.002949899,0.002251729,0.9779604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608082,"about_ca_system_score_gemma":0.0008037344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002442107,"about_ca_topic_score_gemma":0.003618896,"domain_scores_codex":[0.9864769,0.00136092,0.001341604,0.007227304,0.001881918,0.00171138],"domain_scores_gemma":[0.9848722,0.001069077,0.001531728,0.0114332,0.0004205006,0.0006733042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003841978,0.0005985863,0.0119046,0.00120308,0.001694108,0.0006864403,0.002154031,0.004652777,0.0006002293,0.0007393852,0.9656345,0.009748032],"study_design_scores_gemma":[0.001547638,0.00000291373,0.002142598,0.004016922,0.000523689,0.0001194216,0.0001991946,0.0005211321,0.0005578276,0.002060934,0.985917,0.002390761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001018265,0.000005659615,0.000824555,0.00008693273,0.001187307,0.003660874,0.0002552803,0.007403543,0.9855576],"genre_scores_gemma":[0.002966112,0.0001695521,0.00349003,0.00006742332,0.0007437036,0.001248583,0.0001191569,0.007974803,0.9832206],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.296167,"threshold_uncertainty_score":0.9996698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172988017249812,"score_gpt":0.2624398237090672,"score_spread":0.245141021984086,"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."}}