{"id":"W168179537","doi":"10.4000/metropoles.5019","title":"Collectif, 2013. Agriculture urbaine : aménager et nourrir la ville","year":2014,"lang":"fr","type":"article","venue":"Métropoles","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban agriculture; Geography; Agriculture; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009646643,0.0003493407,0.0001690773,0.001317202,0.002915423,0.00150241,0.0006385171,0.000414204,0.01092258],"category_scores_gemma":[0.00129493,0.0002619445,0.0001867177,0.002631068,0.0005683592,0.0005749383,0.001383772,0.0006498026,0.001495037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00819579,"about_ca_system_score_gemma":0.009484006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6815545,"about_ca_topic_score_gemma":0.8994726,"domain_scores_codex":[0.9995031,0.0001015658,0.00003192462,0.00005289017,0.0002093168,0.0001011131],"domain_scores_gemma":[0.9992587,0.0000624301,0.0001014225,0.00003971668,0.0003459168,0.0001918202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003789023,0.0001330945,0.1320037,0.001481685,0.00009804097,0.0008621746,0.02149929,0.0005480325,0.007232706,0.01253015,0.3962026,0.4270296],"study_design_scores_gemma":[0.000008545872,0.00003944222,0.2666976,0.0001166005,0.00001076397,0.000132557,0.006784367,0.00007882807,0.0006146539,0.0002336343,0.7252613,0.00002170985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3716338,0.05087145,0.005850446,0.0464275,0.003630543,0.001359823,0.1033726,0.001179126,0.4156747],"genre_scores_gemma":[0.5211996,0.01475801,0.01468194,0.003079054,0.0003855181,0.0007136308,0.03204435,0.0003762513,0.4127615],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6815545,"threshold_uncertainty_score":0.6406418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006609860937739957,"score_gpt":0.2106236984841682,"score_spread":0.2040138375464282,"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."}}