{"id":"W3204352823","doi":"","title":"Course script for the 1st ELD Initiative Massive Open Online Course (MOOC) on ‘The Economics of Land Degradation - Assessing the socio-economic benefits of land ecosystems.’ March 5 – May 17, 2014","year":2014,"lang":"en","type":"preprint","venue":"INRIA a CCSD electronic archive server","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Land degradation; Course (navigation); Massive open online course; Environmental resource management; Environmental science; Land use; Computer science; Engineering; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002002181,0.0003693362,0.000610914,0.00002058404,0.0005247621,0.0002033246,0.001623196,0.0001961277,0.0001318023],"category_scores_gemma":[0.0001026483,0.0001259355,0.0002810668,0.00006853355,0.0002945829,0.0001613488,0.0007804654,0.0006387587,0.000005861953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002818798,"about_ca_system_score_gemma":0.0006401925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669196,"about_ca_topic_score_gemma":0.04329189,"domain_scores_codex":[0.997411,0.0006159144,0.0006947178,0.0005514488,0.0001762922,0.0005507032],"domain_scores_gemma":[0.9952815,0.003117774,0.001007772,0.0003371342,0.0001992042,0.00005657244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004246574,0.003061026,0.4742992,0.001438545,0.006977608,0.000003699958,0.006402564,0.0667029,0.001329382,0.2095337,0.09868833,0.1273165],"study_design_scores_gemma":[0.001591675,0.00120829,0.8613874,0.0004980127,0.0004956656,0.000005172078,0.004229662,0.02551235,0.0006397406,0.08021352,0.02322239,0.0009961532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726932,0.0003249076,0.00003774087,0.02250704,0.0002511296,0.00268932,0.001261095,0.0000131478,0.0002223991],"genre_scores_gemma":[0.997098,0.0003968855,0.00004076777,0.0003186163,0.0003215483,0.0002610067,0.001303509,0.000007246858,0.0002524321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3870882,"threshold_uncertainty_score":0.9741656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03607283521738748,"score_gpt":0.2842780598980237,"score_spread":0.2482052246806363,"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."}}