{"id":"W3105418619","doi":"10.1016/j.jclepro.2020.125022","title":"Life cycle assessment of mulch use on Okanagan apple orchards: Part 2 - Consequential","year":2020,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; Agriculture and Agri-Food Canada; Okanagan University College; University of British Columbia","funders":"Agriculture and Agri-Food Canada","keywords":"Environmental science; Life-cycle assessment; Mulch; Bark (sound); Orchard; Greenhouse gas; Agroforestry; Agronomy; Forestry; Production (economics); Ecology; Biology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005298887,0.0001185983,0.0002281244,0.00003233946,0.00006759792,0.00002400714,0.0001410408,0.00004722914,0.001528528],"category_scores_gemma":[0.0005181332,0.00009798174,0.0001142072,0.0001291425,0.0002211968,0.0005498968,0.00007408891,0.0002569868,0.00002385145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000244655,"about_ca_system_score_gemma":0.00004566632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005697231,"about_ca_topic_score_gemma":0.000005601521,"domain_scores_codex":[0.9984367,0.0001393467,0.0004806135,0.0002069722,0.0005654175,0.0001709281],"domain_scores_gemma":[0.9990785,0.00002656213,0.000403866,0.0001899899,0.00002263602,0.0002785188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001385001,0.002121011,0.362058,0.0001704569,0.0002133753,0.0000810815,0.003675356,0.4059305,0.111571,0.0001594854,0.09142194,0.0212128],"study_design_scores_gemma":[0.002754529,0.004463258,0.7071539,0.0000880281,0.0002626481,0.0001608013,0.004710461,0.004892085,0.0923389,0.0008600458,0.1815695,0.0007457991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99349,0.000008919201,0.0002386219,0.005121161,0.0002989131,0.0002022583,0.000005785635,0.000009384693,0.0006249652],"genre_scores_gemma":[0.9980791,0.00003474437,0.0007217615,0.0005967261,0.0003980687,0.000001669011,0.000003211428,0.00001272594,0.0001520338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4010384,"threshold_uncertainty_score":0.9993842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753724919137068,"score_gpt":0.2761307894612453,"score_spread":0.2485935402698746,"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."}}