{"id":"W6974299909","doi":"10.58079/aukm","title":"Des jardins communautaires pour prévenir les changements climatiques","year":2023,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Hydrology (agriculture); Ecological succession; Arid; Mediterranean climate","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":[0.004245571,0.0006406583,0.0003231172,0.001413708,0.009104242,0.006059006,0.0007100337,0.001917786,0.009955407],"category_scores_gemma":[0.005643838,0.0003499954,0.0002638565,0.001859752,0.005419873,0.002178882,0.003984506,0.00212376,0.001709331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006235054,"about_ca_system_score_gemma":0.01400053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08597869,"about_ca_topic_score_gemma":0.1537882,"domain_scores_codex":[0.9969379,0.001410258,0.0001095889,0.000299374,0.0006134146,0.0006296146],"domain_scores_gemma":[0.9948534,0.0009068658,0.0007499363,0.0004058101,0.001335332,0.001748612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000379458,0.0003219445,0.0643348,0.001219658,0.00009116607,0.001188453,0.333399,0.001455586,0.006845419,0.2221706,0.07258952,0.2960044],"study_design_scores_gemma":[0.00002351897,0.0001395212,0.06382833,0.0003926472,0.00001879594,0.000216691,0.06555076,0.000487025,0.0007918272,0.004139734,0.8643559,0.00005525602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5200866,0.0147082,0.01317564,0.1014359,0.002329815,0.000578578,0.0007177676,0.0005526646,0.3464148],"genre_scores_gemma":[0.9004568,0.00296966,0.005637714,0.001713807,0.000217496,0.0002288668,0.0001406361,0.0001008676,0.08853411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08597869,"threshold_uncertainty_score":0.1709565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088156718782434,"score_gpt":0.2989962326813799,"score_spread":0.1901805608031366,"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."}}