{"id":"W2896077479","doi":"10.3390/su10114191","title":"Evaluating the Greenhouse Gas Emissions in the Craft Beer Industry: An Assessment of Challenges and Benefits of Greenhouse Gas Accounting","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Craft; Scope (computer science); Life-cycle assessment; Sustainability; Business; Production (economics); Upstream (networking); Engineering; Natural resource economics; Environmental economics; Economics; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004212877,0.0002505712,0.0002936863,0.00003847759,0.0003499735,0.00003007951,0.0005884512,0.0002249476,0.0002225763],"category_scores_gemma":[0.001063128,0.0001394824,0.00007620104,0.0003800021,0.001621506,0.0004886084,0.0005632666,0.0005613342,0.000001332119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006665501,"about_ca_system_score_gemma":0.00009381424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00298602,"about_ca_topic_score_gemma":0.002349327,"domain_scores_codex":[0.9970007,0.0007389876,0.0005158013,0.0005208761,0.0007151465,0.0005085162],"domain_scores_gemma":[0.9982713,0.000376528,0.0002668968,0.0008743277,0.00009565052,0.0001153311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000834253,0.001349667,0.8516777,0.0002114053,0.00002037711,0.00000357634,0.02977651,0.004227317,0.0007567707,0.000588281,0.00007317866,0.1112318],"study_design_scores_gemma":[0.0002973565,0.001035954,0.953718,0.00002324178,0.00003555278,0.000007755289,0.03572562,0.0009947916,0.0001883935,0.007628378,0.0001836663,0.0001612749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936237,0.0001401164,0.00001159793,0.00454119,0.0000233999,0.0009675842,0.000007259259,0.00001955608,0.0006655556],"genre_scores_gemma":[0.9993745,0.00007593274,0.0002921865,0.00008609171,0.00005986516,0.00004903679,0.000002820974,0.00001503432,0.00004454681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1110706,"threshold_uncertainty_score":0.5974507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04167762372672073,"score_gpt":0.3503211246077093,"score_spread":0.3086435008809885,"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."}}