{"id":"W7148185527","doi":"","title":"Montreal agrifood initiatives: institutional design for deeper democratic and civic spaces","year":2023,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Democracy; Government (linguistics); Institutional change; Civil society; Public policy; Institutional theory","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00647217,0.0004805182,0.0002876554,0.001357785,0.01008154,0.01330401,0.002152136,0.001489814,0.04408811],"category_scores_gemma":[0.008946575,0.000324119,0.0003034567,0.002867449,0.007154479,0.003851637,0.00429154,0.001528462,0.001280187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05578272,"about_ca_system_score_gemma":0.05861139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5330321,"about_ca_topic_score_gemma":0.8252094,"domain_scores_codex":[0.9957522,0.001958997,0.00005176072,0.0004056686,0.0007799303,0.001051509],"domain_scores_gemma":[0.993715,0.001641968,0.0003074953,0.0006482764,0.001276696,0.002410573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00010342,0.000151497,0.006266129,0.0001279071,0.0000186737,0.0001866732,0.0161251,0.0022546,0.001060313,0.8521976,0.05371876,0.06778932],"study_design_scores_gemma":[0.0001156221,0.0001779867,0.01828039,0.0002711999,0.00004145849,0.0000535522,0.04406432,0.004004611,0.001706947,0.1042994,0.8268819,0.0001025901],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1127873,0.0005991685,0.03090444,0.02705942,0.0002997847,0.0009685378,0.0007969528,0.0004431165,0.8261413],"genre_scores_gemma":[0.8646187,0.0003699504,0.02826536,0.00112174,0.00004790531,0.0007065983,0.0003174608,0.0001571851,0.104395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4669679,"threshold_uncertainty_score":0.939436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982525057325332,"score_gpt":0.2097652250907529,"score_spread":0.1899399745174996,"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."}}