{"id":"W1903016307","doi":"10.4000/vertigo.10818","title":"Agriculture urbaine comme réponse au chômage à Kinshasa, République Démocratique du Congo","year":2011,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","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":[0.0002757754,0.0002552217,0.0001498875,0.0003924546,0.002473496,0.00161712,0.0002533249,0.0004383208,0.009629186],"category_scores_gemma":[0.000421558,0.0001040817,0.00009744732,0.0008354743,0.0006646991,0.0004673996,0.0006382384,0.0003564745,0.0007902145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003324848,"about_ca_system_score_gemma":0.002754142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1705451,"about_ca_topic_score_gemma":0.3596419,"domain_scores_codex":[0.9997223,0.0001132965,0.000006855088,0.0000394963,0.0000196869,0.00009827831],"domain_scores_gemma":[0.9997814,0.00003643122,0.00005428536,0.00001919452,0.00005437966,0.00005438246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00138145,0.0005280646,0.2931853,0.00214685,0.0001670649,0.01348338,0.07264902,0.002263438,0.1047244,0.0928238,0.03297419,0.3836731],"study_design_scores_gemma":[0.00002927914,0.0002494182,0.3580816,0.0005588923,0.00005009818,0.001505218,0.04156025,0.0005421187,0.008594743,0.002116725,0.5866553,0.0000562179],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8212351,0.01345914,0.001893776,0.005660075,0.0001730206,0.0001052008,0.0007665004,0.0000797875,0.1566275],"genre_scores_gemma":[0.9429291,0.002633946,0.0008786735,0.0003762413,0.00001557664,0.00003523912,0.0001741751,0.00001300021,0.05294401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1705451,"threshold_uncertainty_score":0.339105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038162838428476,"score_gpt":0.2098313835028486,"score_spread":0.1794497551185638,"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."}}