{"id":"W4392062266","doi":"10.4000/echogeo.26231","title":"Politiques publiques sectorielles suisses de lutte contre la dégradation des sols","year":2023,"lang":"fr","type":"article","venue":"EchoGéo","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fédération des Maisons D'Hébergement pour Femmes","funders":"","keywords":"Political science; Humanities; Art","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006813508,0.0002137695,0.0002136805,0.0000722584,0.000280822,0.0002937441,0.0002890634,0.0002182867,0.002837153],"category_scores_gemma":[0.0001161462,0.000193831,0.00008877894,0.0004284023,0.00009635612,0.0009282278,0.0001526301,0.0001463576,0.002832689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234947,"about_ca_system_score_gemma":0.00006125624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02159194,"about_ca_topic_score_gemma":0.01320569,"domain_scores_codex":[0.9981973,0.000287158,0.0002642714,0.0003329747,0.0002294087,0.0006888421],"domain_scores_gemma":[0.9991696,0.0002368399,0.00009793129,0.0002439926,0.00003491393,0.0002167205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003409041,0.0002292317,0.862401,0.0008160594,0.0001586856,0.000197196,0.01177695,0.0007730791,0.005699844,0.01363642,0.08113188,0.02314555],"study_design_scores_gemma":[0.0005540345,0.0001434137,0.4153295,0.0006140245,0.00008136034,0.00006051011,0.003511976,0.005731666,0.03133136,0.04150163,0.5004509,0.0006896286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724802,0.0018759,0.00008306983,0.007533307,0.0004505376,0.0001973787,0.0001025586,0.0003221448,0.01695488],"genre_scores_gemma":[0.9833511,0.004352839,0.0003203972,0.0004176125,0.0004787312,0.00003041266,0.00006600338,0.00003337975,0.01094958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4470716,"threshold_uncertainty_score":0.9980744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197560504827106,"score_gpt":0.2660070017128509,"score_spread":0.2462509512301403,"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."}}