{"id":"W2201136423","doi":"","title":"The distinctive bio-food production in Quebec’s regions: territories of resources evolving along with company’s life cycle","year":2013,"lang":"en","type":"article","venue":"Revue d’Économie Régionale & Urbaine","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":[0.0003440065,0.0001548339,0.0001658138,0.0009748728,0.002461584,0.002553728,0.0005618449,0.000323439,0.005639748],"category_scores_gemma":[0.0009424817,0.0001143451,0.000167368,0.002208951,0.001395284,0.0009170726,0.0007409832,0.0002974932,0.0002485529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01939033,"about_ca_system_score_gemma":0.009272722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9406857,"about_ca_topic_score_gemma":0.9852378,"domain_scores_codex":[0.9997461,0.00004478087,0.000005094497,0.00005690413,0.00004545988,0.000101661],"domain_scores_gemma":[0.9992275,0.0001582369,0.0001400038,0.0000540813,0.000271642,0.0001486614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002646692,0.00009197598,0.8406661,0.0002029326,0.0001062429,0.001488309,0.06040123,0.00242257,0.007424991,0.01662015,0.003362066,0.06694871],"study_design_scores_gemma":[0.00000255823,0.00002099345,0.95307,0.00004765638,0.00001986464,0.00005203093,0.03396411,0.0005179009,0.0003444114,0.0004747678,0.01147112,0.00001450084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977973,0.0005953428,0.000440933,0.0004760401,0.000005284769,0.00001788191,0.0004349598,0.000004474286,0.02005202],"genre_scores_gemma":[0.9948613,0.000173115,0.000175301,0.0000437389,0.000001110699,0.000006538477,0.0001096349,0.000002935736,0.00462638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05931431,"threshold_uncertainty_score":0.1406873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692417268355335,"score_gpt":0.2330584547976549,"score_spread":0.2161342821141016,"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."}}