{"id":"W4295192652","doi":"","title":"A procedure to analyze multiple Ecosystem Services in apple orchards","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Ecosystem; Computer science; Ecosystem services; Agricultural engineering; Environmental science; Ecology; Engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006142237,0.0003224132,0.0004848997,0.0001746906,0.0001650431,0.0002328533,0.001429088,0.0002735055,0.0005023897],"category_scores_gemma":[0.0007597677,0.0003076453,0.0001854396,0.0008590937,0.00008587015,0.0001376707,0.002317816,0.0004613681,0.0003743682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004202379,"about_ca_system_score_gemma":0.0001158343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01457098,"about_ca_topic_score_gemma":0.2569606,"domain_scores_codex":[0.9949412,0.002480449,0.0005505012,0.001008951,0.0006093324,0.0004095775],"domain_scores_gemma":[0.9968732,0.0004290342,0.0002600418,0.001748309,0.0003512611,0.0003381721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006634118,0.001563236,0.8760511,0.0008428405,0.0001474726,0.00001404369,0.07059928,0.01907003,0.001202214,0.0006937048,0.003760464,0.02598925],"study_design_scores_gemma":[0.002415643,0.000002601505,0.2457083,0.004343837,0.0002570631,0.00001927575,0.004723805,0.567153,0.01136121,0.006030608,0.1552105,0.002774082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678882,0.0001763079,0.003942287,0.004786428,0.00008630289,0.0006632422,0.0001893618,0.0001359416,0.02213189],"genre_scores_gemma":[0.9900066,0.0000469861,0.006398912,0.0001321552,0.00001675855,0.000199993,0.0004671639,0.00002879838,0.002702673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6303428,"threshold_uncertainty_score":0.9999376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018538312087269,"score_gpt":0.2187660604770318,"score_spread":0.2085806773561591,"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."}}