{"id":"W4388177041","doi":"10.1016/j.cities.2023.104641","title":"Determinants of the urban green spaces management practices in the city of Niamey, Niger","year":2023,"lang":"en","type":"article","venue":"Cities","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Urbanization; Context (archaeology); Geography; Socioeconomics; Urban green space; Work (physics); Environmental planning; Green infrastructure; Multinomial logistic regression; Business; Space (punctuation); Environmental resource management; Economic growth; Sociology; Economics","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":[0.0002313617,0.0001425755,0.0001518111,0.0005327991,0.0007845485,0.001102056,0.0002477449,0.0002994758,0.002039082],"category_scores_gemma":[0.001000221,0.0002115841,0.0001887825,0.001235852,0.0007293938,0.0003679333,0.0009420252,0.0004703709,0.0001372533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230455,"about_ca_system_score_gemma":0.001220517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09926119,"about_ca_topic_score_gemma":0.2060756,"domain_scores_codex":[0.9997173,0.00008721093,0.00002171326,0.00004539748,0.00002663497,0.0001018422],"domain_scores_gemma":[0.999353,0.0001903353,0.0002274797,0.00004533193,0.00007002596,0.0001138985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005167737,0.00005810958,0.9922421,0.00002331333,0.00002733484,0.0002376581,0.003032336,0.0002541935,0.0004611358,0.0009909926,0.0001829756,0.002438103],"study_design_scores_gemma":[0.000001924827,0.00002962559,0.9787061,0.00003522518,0.00001635408,0.0001139359,0.01958612,0.0003968214,0.000146394,0.000214974,0.0007449863,0.000007698264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985088,0.00005374071,0.00004170151,0.0001052503,0.000002010012,0.000004756935,0.00008060945,0.000001170022,0.001201935],"genre_scores_gemma":[0.9997093,0.00003358725,0.00002633715,0.000004403878,7.211726e-7,0.00000227891,0.00002188733,4.066841e-7,0.0002010156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09926119,"threshold_uncertainty_score":0.1973668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04561691750164822,"score_gpt":0.2954790330378572,"score_spread":0.249862115536209,"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."}}