{"id":"W2347158766","doi":"10.1111/1365-2664.12683","title":"What does Life‐Cycle Assessment of agricultural products need for more meaningful inclusion of biodiversity?","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"","keywords":"Life-cycle assessment; Biodiversity; Sustainability; Agriculture; Environmental resource management; Ecosystem services; Land use; Agricultural productivity; Environmental science; Impact assessment; Production (economics); Inclusion (mineral); Environmental planning; Environmental impact assessment; Natural resource economics; Business; Ecosystem; Ecology; Economics; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00045183,0.0001300469,0.000348166,0.0000415723,0.0001308852,0.00000725507,0.0002763528,0.0001097363,0.0003441149],"category_scores_gemma":[0.00007526066,0.00005992651,0.0001144973,0.0001240175,0.0003505866,0.0004723797,0.0005459933,0.00009279286,0.000005471812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003949419,"about_ca_system_score_gemma":0.00002852115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001208829,"about_ca_topic_score_gemma":0.00002521703,"domain_scores_codex":[0.9988428,0.00003230428,0.0004386297,0.000172663,0.0002877396,0.0002258436],"domain_scores_gemma":[0.9989366,0.0001205198,0.0006664552,0.0001229972,0.00004156259,0.0001118875],"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":[0.000623656,0.00118079,0.08943908,0.0001430482,0.0001985534,0.000005531477,0.006297689,0.008748108,0.8828859,0.0002558847,0.004861074,0.005360688],"study_design_scores_gemma":[0.001412742,0.0007698346,0.938495,0.00002326812,0.0000925893,0.00001302854,0.009965277,0.000009929171,0.04663478,0.001529098,0.0009079382,0.0001464874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939601,0.00001410074,0.00008830424,0.00507934,0.0002309921,0.0003551983,0.000009895237,0.00000406667,0.0002579502],"genre_scores_gemma":[0.9976615,0.00006862797,0.002007722,0.0001350259,0.00005543295,0.000004373317,0.000002614844,0.000003698458,0.00006096359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8490559,"threshold_uncertainty_score":0.3767817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004961451278153233,"score_gpt":0.2215538496609779,"score_spread":0.2165923983828247,"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."}}