{"id":"W2558333270","doi":"10.2139/ssrn.2873250","title":"Dynamic Staffing of Volunteer Gleaning Operations","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Staffing; Volunteer; Computer science; Business; Management; Economics; Biology; Ecology","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":[0.0006379628,0.00006607693,0.00009383247,0.00001320146,0.000179482,0.00001996696,0.0001372551,0.00003726971,0.0001201283],"category_scores_gemma":[0.00009547505,0.00001970031,0.00008096341,0.0001446703,0.00004434912,0.0001579741,0.00002163698,0.0002657599,0.000004787657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003527494,"about_ca_system_score_gemma":0.0001967162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007226726,"about_ca_topic_score_gemma":0.002498131,"domain_scores_codex":[0.9987642,0.00006292365,0.000188937,0.0001097628,0.0001304032,0.0007437431],"domain_scores_gemma":[0.9996998,0.00004179359,0.00005263898,0.00003197552,0.0001289602,0.00004481343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003305826,0.00007775933,0.002011779,0.000002319553,0.0000391975,5.407381e-7,0.00008414413,0.00004692965,0.2438888,0.03060448,0.00002242079,0.7231886],"study_design_scores_gemma":[0.00354615,0.009394219,0.1176373,0.000333198,0.0001609994,0.002134032,0.3224633,0.002495092,0.01361295,0.4998554,0.02637065,0.001996668],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955116,0.0003321071,0.0006614217,0.003189313,0.00007600925,0.00005403166,0.000003073079,0.00001629995,0.0001561578],"genre_scores_gemma":[0.9975808,0.0004634145,0.00003485854,0.00001460341,0.00007013619,0.000001338323,0.000001153254,6.552465e-7,0.001833042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7211919,"threshold_uncertainty_score":0.1394016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005879703919017308,"score_gpt":0.2144037790179109,"score_spread":0.2085240750988936,"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."}}