{"id":"W3135242721","doi":"10.1139/facets-2020-0066","title":"Hydroponic fodder and greenhouse gas emissions: a potential avenue for climate mitigation strategy and policy development","year":2021,"lang":"en","type":"article","venue":"FACETS","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Fodder; Greenhouse gas; Environmental science; Carbon sequestration; Climate change mitigation; Agriculture; Renewable energy; Agronomy; Tillage; Climate change; Agroforestry; Agricultural engineering; Engineering; Carbon dioxide; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00009795788,0.0001185414,0.00009926399,0.00001314452,0.0002712239,0.00004682016,0.00004326526,0.00007083224,0.0001812136],"category_scores_gemma":[0.00003242298,0.00009865731,0.00002566174,0.00007533476,0.00011493,0.0001773093,0.0001652912,0.00006515856,0.00002264301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001648769,"about_ca_system_score_gemma":0.00002923615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005558306,"about_ca_topic_score_gemma":0.00007491856,"domain_scores_codex":[0.9991591,0.00002756608,0.0001343959,0.0002747081,0.0001245559,0.0002796764],"domain_scores_gemma":[0.9996958,0.00001421885,0.00003933207,0.00009690866,0.000003881647,0.0001498832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003320458,0.001578157,0.1755022,0.0008703758,0.0002102262,0.0002214396,0.01638648,0.009101693,0.4785243,0.001170383,0.008586957,0.3075158],"study_design_scores_gemma":[0.001139323,0.0001763085,0.9417554,0.00003727445,0.00003607359,0.0001612866,0.002080817,0.0008700089,0.0177563,0.003935023,0.03163281,0.0004193704],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978707,0.0001684356,0.0001943868,0.0008901512,0.00001704394,0.000242857,0.00001697521,0.00001844325,0.0005809618],"genre_scores_gemma":[0.9976214,0.0001554983,0.001153471,0.0001283823,0.00002699349,0.00002554978,0.0000374194,0.000009368256,0.0008419369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7662532,"threshold_uncertainty_score":0.4023128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006804992997637669,"score_gpt":0.2401135097900649,"score_spread":0.2333085167924272,"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."}}