{"id":"W2019811626","doi":"10.1065/lca2006.05.250","title":"Key Elements in a Framework for Land Use Impact Assessment Within LCA (11 pp)","year":2006,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":483,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"Agroscope; Universiteit Leiden","keywords":"Land use; Impact assessment; Life-cycle assessment; Environmental resource management; Environmental impact assessment; Land use, land-use change and forestry; Environmental planning; Natural resource; Agriculture; Environmental science; Agricultural land; Economic impact analysis; Natural resource economics; Geography; Civil engineering; Engineering; Production (economics); Ecology; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007350665,0.002078991,0.001849125,0.003933667,0.002907123,0.0113516,0.004194903,0.004583483,0.01838043],"category_scores_gemma":[0.007201199,0.001471023,0.002128921,0.005135207,0.005950102,0.008249889,0.003716233,0.005709517,0.008979058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005124624,"about_ca_system_score_gemma":0.005595305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128652,"about_ca_topic_score_gemma":0.02483604,"domain_scores_codex":[0.9965355,0.00141121,0.0003659922,0.000259571,0.001233532,0.0001941246],"domain_scores_gemma":[0.9980605,0.00092055,0.0001386389,0.0001859644,0.000536388,0.0001580112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002556853,0.0001023263,0.0003961567,0.0005447899,0.00006422595,0.0003354557,0.001040336,0.009451244,0.001079421,0.8673108,0.02807549,0.09157414],"study_design_scores_gemma":[0.00002011702,0.00004803718,0.0007315152,0.0009576587,0.00006145133,0.0002314681,0.0006767917,0.01437133,0.000815716,0.658747,0.3232843,0.00005467676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001398881,0.006154954,0.8977418,0.01122534,0.0009923708,0.001310258,0.0009961127,0.001267648,0.07891264],"genre_scores_gemma":[0.02441343,0.003475765,0.9529172,0.001511294,0.000540979,0.002158475,0.0008723709,0.0003967159,0.01371376],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02128652,"threshold_uncertainty_score":0.06148869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153856868788478,"score_gpt":0.3449538560785508,"score_spread":0.329568169199703,"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."}}