{"id":"W3121212024","doi":"","title":"Water Management and Corporate Social Performance in the Food and Beverage Industry","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; Corporate social responsibility; Beverage industry; Agriculture; Food industry; Performance indicator; Sample (material); Corporate governance; Environmental resource management; Marketing; Economics; Finance; 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":[0.0007545893,0.0000872555,0.00006946379,0.00006682845,0.0001720672,0.00007051691,0.00009121252,0.00005802373,0.000006518357],"category_scores_gemma":[8.272436e-7,0.00005640193,0.00001107725,0.00007333652,0.00003807713,0.0001089924,0.00002417434,0.0009690542,0.000002109696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948468,"about_ca_system_score_gemma":0.00004975529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001054722,"about_ca_topic_score_gemma":0.00001513687,"domain_scores_codex":[0.998835,0.00002793054,0.0001016589,0.00007463185,0.00009909194,0.0008616499],"domain_scores_gemma":[0.9998952,0.00000546816,0.00001947154,0.00004632823,0.00001288714,0.00002065609],"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":[0.0003046673,0.0002655543,0.1089277,0.0006368096,0.001670753,0.0002032956,0.02011417,0.00169542,0.002935483,0.3902952,0.002651207,0.4702997],"study_design_scores_gemma":[0.007602458,0.003380683,0.1984743,0.0001845718,0.0001900939,0.00223497,0.04702917,0.01273754,0.005052867,0.7010744,0.0204208,0.001618108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970208,0.0004283803,0.0009038557,0.0002278953,0.00005644884,0.0000835047,1.825166e-7,0.00001645149,0.001262479],"genre_scores_gemma":[0.998673,0.0007529788,0.00002652993,0.00005419292,0.0001797332,0.000005759956,4.659753e-7,0.00001100885,0.0002963577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4686816,"threshold_uncertainty_score":0.4210112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009832673644523,"score_gpt":0.2094186950202466,"score_spread":0.1993203682838014,"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."}}