{"id":"W4407947882","doi":"10.4000/13dvd","title":"Diffusion et différenciation spatiales des transitions agricoles dans les Vosges (2010-2020)","year":2025,"lang":"fr","type":"article","venue":"Revue Géographique de l Est","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Political science","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":[0.0009900677,0.0001741362,0.0001985835,0.001345221,0.0003934295,0.001856134,0.0003486187,0.0003534265,0.003279091],"category_scores_gemma":[0.00270681,0.000126367,0.0003957294,0.00233055,0.0006021851,0.00103583,0.001084431,0.0005422715,0.0004150126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758363,"about_ca_system_score_gemma":0.001022132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0469643,"about_ca_topic_score_gemma":0.0813283,"domain_scores_codex":[0.9993491,0.0001214348,0.00004068068,0.0002335985,0.0001162814,0.0001389951],"domain_scores_gemma":[0.998485,0.0004769951,0.0004546452,0.0001155006,0.0003323192,0.0001354257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004636289,0.00003744156,0.8688101,0.0003058946,0.00021871,0.0001782925,0.005257105,0.006828562,0.005629926,0.0153702,0.002116801,0.09478333],"study_design_scores_gemma":[0.00001043019,0.00006572569,0.9642138,0.00007313069,0.00004172499,0.00009511297,0.004954481,0.003145183,0.0008182804,0.002195088,0.02436107,0.00002590146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796896,0.001710835,0.004152693,0.001010229,0.00004050302,0.00001921272,0.003592232,0.0001019781,0.00968272],"genre_scores_gemma":[0.9949896,0.000425896,0.001558421,0.00004255888,0.00001041307,0.00001448287,0.001177056,0.00001502264,0.001766632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0469643,"threshold_uncertainty_score":0.09338182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03001608002325013,"score_gpt":0.2660488608478394,"score_spread":0.2360327808245893,"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."}}