{"id":"W4413188106","doi":"10.5751/es-16152-300320","title":"Networking supports crop diversity decisions: insights from the Gaillac wine-growing region (France)","year":2025,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Geography; Diversity (politics); Environmental resource management; Crop; Agroforestry; Crop diversity; Environmental planning; Business; Political science; Environmental science; Forestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048306,0.0001801279,0.0001557521,0.0008174583,0.001996861,0.001726309,0.0004475581,0.0005162181,0.001720801],"category_scores_gemma":[0.001293032,0.0001003447,0.0001453593,0.0006170821,0.0007527819,0.001083211,0.001086612,0.0004039879,0.0001511888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002431785,"about_ca_system_score_gemma":0.001270767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1811101,"about_ca_topic_score_gemma":0.2615837,"domain_scores_codex":[0.9994923,0.0003143199,0.000005862632,0.00005788601,0.00003459074,0.00009511905],"domain_scores_gemma":[0.9989699,0.000625393,0.0001377527,0.00002394995,0.0001065359,0.0001363652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002016225,0.0002924696,0.3829672,0.0002134996,0.00007844548,0.006190476,0.5554709,0.0009278535,0.004109734,0.005204258,0.004286175,0.04005741],"study_design_scores_gemma":[0.00001598174,0.0001397996,0.4812245,0.0001616525,0.00003237444,0.0004446328,0.479067,0.001655874,0.0002789769,0.0008765979,0.03607208,0.00003051867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951022,0.0001896016,0.0001046024,0.0005662639,0.00000444653,0.000006707199,0.00007863119,0.000002061657,0.003945515],"genre_scores_gemma":[0.9979818,0.0002822744,0.0001807066,0.0001530061,0.000006980052,0.000007458504,0.0000911077,0.000004038635,0.001292575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1811101,"threshold_uncertainty_score":0.3601118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820970934406271,"score_gpt":0.2545785120642638,"score_spread":0.2263688027202011,"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."}}