{"id":"W4385700253","doi":"10.1111/cag.12871","title":"Se nourrir autrement : quelle différence dans l'accès aux systèmes alimentaires alternatifs selon la taille de la ville et ses conditions géographiques?","year":2023,"lang":"fr","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001078581,0.0002784342,0.0004234064,0.000759995,0.001587757,0.003498225,0.0005501573,0.0006035104,0.004891815],"category_scores_gemma":[0.001957897,0.0002420343,0.0003782627,0.001839088,0.002143079,0.001551443,0.000966373,0.0005933574,0.0005726227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00443266,"about_ca_system_score_gemma":0.003079257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4427034,"about_ca_topic_score_gemma":0.6132143,"domain_scores_codex":[0.9992729,0.0001676407,0.00002623678,0.0002447769,0.0001446832,0.0001438253],"domain_scores_gemma":[0.9987133,0.0002599735,0.0003203816,0.0001210244,0.0004824565,0.0001029106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005303359,0.000118799,0.7857276,0.0006665683,0.0004170793,0.0007272715,0.03403574,0.002030823,0.05563758,0.01409185,0.001789628,0.1042268],"study_design_scores_gemma":[0.000008092074,0.0001647007,0.9435263,0.0001505592,0.0001285482,0.0002485289,0.02757525,0.0009484279,0.00322256,0.00194194,0.02203038,0.00005477254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811999,0.001128449,0.003301235,0.0009745909,0.00002351275,0.00003070246,0.0004990588,0.00003006157,0.01281241],"genre_scores_gemma":[0.992098,0.0006773508,0.001916794,0.0002026647,0.000007596321,0.00001895011,0.0001685632,0.0000149686,0.004895104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5572966,"threshold_uncertainty_score":0.8802531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009806852601422866,"score_gpt":0.2272819064085933,"score_spread":0.2174750538071704,"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."}}