{"id":"W2969585461","doi":"","title":"Vu d’ici... L’intégration de la diversité : des paroles aux actes","year":2019,"lang":"fr","type":"article","venue":"Cairn.info","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004005668,0.0002353459,0.0002235519,0.0000222883,0.0004933901,0.0002875258,0.0003937451,0.0003433088,0.01349246],"category_scores_gemma":[0.0001033409,0.00009460453,0.0001549918,0.00039425,0.0003701151,0.000541969,0.000219468,0.0002786956,0.003052996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004065305,"about_ca_system_score_gemma":0.00006858235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005668837,"about_ca_topic_score_gemma":0.001242803,"domain_scores_codex":[0.9983026,0.0001907659,0.0002127405,0.0003221064,0.0003552691,0.0006164921],"domain_scores_gemma":[0.9990746,0.0003435887,0.00008024496,0.0000709637,0.0001946401,0.0002359254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007399444,0.0002412774,0.4687855,0.0001369546,0.000136202,0.00005398184,0.004016531,0.00003070478,0.09642164,0.04338296,0.1284848,0.2582355],"study_design_scores_gemma":[0.0001504792,0.0002032361,0.6852037,0.000102188,0.00002445014,0.00002172006,0.001200003,0.00004202137,0.00452834,0.002146703,0.3061284,0.0002487045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8949827,0.002658646,0.000006058636,0.01254605,0.000342644,0.0002662857,0.00002430325,0.00006233865,0.08911099],"genre_scores_gemma":[0.7695827,0.001854102,0.0001318928,0.00023473,0.0004111779,0.000008430179,0.00006693514,0.000001561812,0.2277085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2579868,"threshold_uncertainty_score":0.9977232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498936061138803,"score_gpt":0.2390657987700758,"score_spread":0.2240764381586878,"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."}}