{"id":"W7006104810","doi":"","title":"Sur le dos de nos faims aveugles : la régulation agroenvironnementale au Québec","year":2022,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban environment; Zea mays; Environmental policy; Food supply","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":[0.0006377821,0.0002006801,0.0001600938,0.0007921156,0.00330004,0.002201043,0.0006061858,0.0005730871,0.006569955],"category_scores_gemma":[0.001176789,0.0001646288,0.0001991829,0.001398542,0.001529402,0.0006326893,0.0006515837,0.0007907407,0.0003030237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0365731,"about_ca_system_score_gemma":0.03136113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926933,"about_ca_topic_score_gemma":0.9975944,"domain_scores_codex":[0.9994119,0.00007313644,0.00001614032,0.0001008824,0.000254087,0.0001437913],"domain_scores_gemma":[0.9986222,0.0001238408,0.0001191395,0.0000406221,0.0009237026,0.0001704931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00034303,0.000163146,0.4518293,0.0007627982,0.00015809,0.001315659,0.03486221,0.009557243,0.02010428,0.07257865,0.0591452,0.3491804],"study_design_scores_gemma":[0.00001130098,0.00009572497,0.7267956,0.000311927,0.0000772829,0.0001205563,0.02335268,0.003712943,0.002980363,0.001521769,0.2409266,0.00009335834],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8094921,0.005871641,0.004462504,0.01638427,0.0001686079,0.0001238689,0.003335866,0.0001432572,0.1600179],"genre_scores_gemma":[0.9140306,0.00224863,0.001801748,0.001239191,0.00001569267,0.00003595501,0.0005869566,0.00002936411,0.08001191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0365731,"threshold_uncertainty_score":0.2653577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009653556600414111,"score_gpt":0.1877385689093103,"score_spread":0.1780850123088962,"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."}}