{"id":"W4283827394","doi":"10.1016/j.apgeog.2022.102746","title":"Home-grown food: How do urban form, socio-economic status, and ethnicity influence food gardens in Montreal?","year":2022,"lang":"en","type":"article","venue":"Applied Geography","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Institut National de Santé Publique du Québec","keywords":"Geography; Metropolitan area; Ethnic group; Immigration; Socioeconomics; Diversity (politics); Agriculture; Urban agriculture; Agricultural economics; Archaeology; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003156139,0.0002437664,0.0003011522,0.00004639997,0.0004653379,0.0001131882,0.0003004157,0.0001111654,0.0001856449],"category_scores_gemma":[0.000009667683,0.0001116355,0.0001525991,0.0004479913,0.0001603022,0.0001019139,0.0003039132,0.00036804,0.000004269238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098486,"about_ca_system_score_gemma":0.00001335225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009502977,"about_ca_topic_score_gemma":0.006820815,"domain_scores_codex":[0.998243,0.00008745279,0.0002370067,0.0005936708,0.0002201228,0.0006187171],"domain_scores_gemma":[0.999406,0.0001633302,0.000114234,0.0001160143,0.00003177878,0.0001685972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008323365,0.0001755738,0.9821403,0.00001685349,0.00005275361,0.000002663883,0.001099186,0.00004113777,0.00118345,0.001656874,0.003694471,0.009853521],"study_design_scores_gemma":[0.0003337263,0.0005634372,0.9587326,0.000001737087,0.00001375799,0.000001804216,0.00491986,0.000002592026,0.00002966976,0.01470997,0.02038623,0.0003046161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995967,0.000852183,2.452606e-7,0.0008067511,0.00004470361,0.0005663439,0.0001977849,0.00007375124,0.001491269],"genre_scores_gemma":[0.999147,0.00009984346,0.00001242213,0.0002934834,0.00007826657,0.000218697,0.00008033004,0.000001753309,0.00006822307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02340769,"threshold_uncertainty_score":0.4552365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005582895764487067,"score_gpt":0.1686949815851956,"score_spread":0.1631120858207085,"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."}}