{"id":"W1523334610","doi":"10.1016/j.jclepro.2015.05.037","title":"Evaluating the environmental impacts of conventional and organic apple production in Nova Scotia, Canada, through life cycle assessment","year":2015,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Nova Scotia Department of Energy","keywords":"Life-cycle assessment; Nova scotia; Environmental science; Environmental impact assessment; Production (economics); Supply chain; Manure management; Truck; Greenhouse gas; Engineering; Waste management; Business; Geography; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00140604,0.0005249453,0.0002648419,0.001086227,0.0009783179,0.001656055,0.0008969649,0.0003368868,0.0007472094],"category_scores_gemma":[0.001531318,0.0002535351,0.0005253597,0.00154121,0.0006124907,0.0004339003,0.0004932254,0.0003709601,0.0001048859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06818244,"about_ca_system_score_gemma":0.03779998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991117,"about_ca_topic_score_gemma":0.9960973,"domain_scores_codex":[0.9990699,0.0001426441,0.00003648742,0.00008369429,0.0004520183,0.0002153474],"domain_scores_gemma":[0.9984612,0.0002551671,0.0001291234,0.00003527563,0.0009372015,0.0001819923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002549354,0.0007002334,0.7426502,0.000754567,0.0006095566,0.00136732,0.001205984,0.126603,0.02293973,0.002644032,0.003543925,0.09443226],"study_design_scores_gemma":[0.0001090231,0.001016786,0.8988631,0.0001488234,0.0003713502,0.0001195169,0.004132569,0.06822653,0.0113596,0.0006820815,0.01484969,0.0001210374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892074,0.0007875002,0.0006880345,0.00019005,0.00000909966,0.0002037467,0.002706734,0.00001826758,0.006189285],"genre_scores_gemma":[0.9922909,0.0007375847,0.001269433,0.00007374289,0.00000150543,0.00003489199,0.001536359,0.000006777798,0.004048757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06818244,"threshold_uncertainty_score":0.4947006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415827513208399,"score_gpt":0.2922094843286752,"score_spread":0.2680512091965912,"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."}}