{"id":"W2522053700","doi":"","title":"ELD Initiative User Guide: A 6+1 step approach to assess the economics of land management","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Computer science; Land management; Environmental resource management; Data science; Land use; Environmental science; Engineering; Civil engineering","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":[0.002759991,0.001437851,0.00149902,0.004069738,0.0006760451,0.002895314,0.002879095,0.001719094,0.1410487],"category_scores_gemma":[0.007502019,0.001437354,0.001941947,0.004052913,0.0002939434,0.002547472,0.001761024,0.001534032,0.05223721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008974916,"about_ca_system_score_gemma":0.002196124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.029853,"about_ca_topic_score_gemma":0.05816122,"domain_scores_codex":[0.9992286,0.0002597688,0.00007068676,0.00007247052,0.0002744514,0.00009404552],"domain_scores_gemma":[0.9961279,0.002241123,0.00009483821,0.0003974838,0.0009403814,0.000198335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003125529,0.0004104976,0.006006971,0.001679673,0.0002516938,0.0002089395,0.0006574481,0.01179662,0.001773953,0.01576714,0.8128091,0.1483255],"study_design_scores_gemma":[0.0008058558,0.0002061283,0.01314197,0.0006430513,0.0001975481,0.0003246966,0.001132367,0.06432387,0.005037459,0.03923215,0.874692,0.0002629142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01126237,0.0005127467,0.2458762,0.0007758294,0.0001820758,0.00184176,0.5851644,0.08376778,0.07061679],"genre_scores_gemma":[0.02937207,0.0004995432,0.6861483,0.0004591925,0.00006795663,0.004452717,0.2107481,0.01757586,0.05067626],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1410487,"threshold_uncertainty_score":0.471855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05248762543418359,"score_gpt":0.2417302039167162,"score_spread":0.1892425784825326,"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."}}