{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002157275,0.0002247832,0.0002021844,0.001732742,0.0007553268,0.001743636,0.0002571457,0.000438032,0.001680691],"category_scores_gemma":[0.007509795,0.0000818866,0.0002596224,0.001689525,0.001093135,0.001083476,0.001673261,0.0004564338,0.0002211257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008780989,"about_ca_system_score_gemma":0.0004229723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004191568,"about_ca_topic_score_gemma":0.006780658,"domain_scores_codex":[0.998345,0.0006189008,0.0001198311,0.0001266074,0.000458891,0.0003307563],"domain_scores_gemma":[0.988896,0.002707565,0.004734513,0.0003624065,0.001305496,0.001994076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003213915,0.0001992233,0.9905724,0.000009055024,0.00006303447,0.0000800355,0.001142442,0.0003145019,0.0001884942,0.0003564895,0.0001330093,0.006909257],"study_design_scores_gemma":[0.000001158714,0.00005604516,0.9964164,0.000006807509,0.000009431886,0.00002188746,0.002335625,0.0005696263,0.0000988648,0.0001895933,0.000290323,0.000004249367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981319,0.00005911068,0.00005925036,0.0001520082,0.000002272653,0.000003217621,0.00001496268,0.00000156931,0.001575617],"genre_scores_gemma":[0.9998313,0.0000227855,0.00001449366,0.000006250363,0.000003711788,0.000001059245,0.00001933915,4.788087e-7,0.0001004594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004191568,"threshold_uncertainty_score":0.01140887,"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."}}