{"id":"W4405106496","doi":"10.4018/979-8-3693-6920-3.ch015","title":"Applications of ISO 14046 Water Footprint Assessment for Sustainable Water Management in Dairy Production","year":2024,"lang":"en","type":"book-chapter","venue":"Advances in environmental engineering and green technologies book series","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Water use; Footprint; Dairy industry; Wastewater; Production (economics); Ice cream; Water consumption; Environmental engineering; Agricultural science; Water resource management; Business; Geography; Food science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002321674,0.0004230205,0.0003867768,0.0002415245,0.00007568556,0.00001931019,0.0002602108,0.0002495346,0.00008233603],"category_scores_gemma":[0.000003429881,0.0003334292,0.00008227495,0.00004312424,0.0006387295,0.0006065958,0.00113122,0.0003602414,0.00001368275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009835439,"about_ca_system_score_gemma":0.000002403323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002078657,"about_ca_topic_score_gemma":0.00002769772,"domain_scores_codex":[0.9980417,0.000005032878,0.0004693846,0.00069556,0.0002217827,0.0005664781],"domain_scores_gemma":[0.9994166,0.00001556921,0.00006000085,0.0004707898,0.000002032286,0.00003499811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005068525,0.001002571,0.01281521,0.01530108,0.0004849902,0.0004711827,0.003042025,0.09460863,0.02352159,0.199936,0.00008950212,0.6482204],"study_design_scores_gemma":[0.0004492334,0.0003577247,0.001004437,0.0001948389,0.00008149179,0.00002211199,0.004224377,0.0002546387,0.03046328,0.1600226,0.8020169,0.0009084371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2363259,0.09626961,0.0118256,0.007653323,0.001345632,0.04619221,0.0004433193,0.003728761,0.5962156],"genre_scores_gemma":[0.5547399,0.02466751,0.006390319,0.00002062393,0.0000361382,0.002451119,0.0001518214,0.0001672697,0.4113753],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8019273,"threshold_uncertainty_score":0.9999118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002719918284432054,"score_gpt":0.2044056991147371,"score_spread":0.2016857808303051,"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."}}