{"id":"W7010977106","doi":"","title":"L'agriculture maraîchère sur petites surfaces au Québec : portrait et impact environnemental","year":2017,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Engineering and Materials Science Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nature Conservation; Environmental policy; Production system (computer science)","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":[0.0003021026,0.0003182959,0.0001735326,0.001199923,0.0035138,0.002775359,0.0006197825,0.0005054036,0.0124175],"category_scores_gemma":[0.0004340004,0.0001430518,0.000305946,0.002489441,0.001889684,0.0007623872,0.0008900626,0.0006911011,0.0005760536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03238576,"about_ca_system_score_gemma":0.01601648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857239,"about_ca_topic_score_gemma":0.9959104,"domain_scores_codex":[0.9996721,0.00003848106,0.000005709225,0.00005019202,0.0001448812,0.00008862212],"domain_scores_gemma":[0.9994598,0.0000525427,0.00005067604,0.00001959393,0.000350194,0.00006728926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003199814,0.0001850083,0.4054043,0.001474954,0.0002435079,0.004168843,0.04397153,0.01553608,0.02557851,0.06700544,0.06894575,0.3671661],"study_design_scores_gemma":[0.000008028795,0.00008919675,0.5852892,0.0006219717,0.0000860211,0.0003551734,0.03761322,0.003962947,0.001924745,0.002653253,0.3672973,0.0000988955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5890225,0.01295317,0.00672618,0.009958478,0.0001765944,0.0001259442,0.004198786,0.0001675757,0.3766707],"genre_scores_gemma":[0.9136761,0.006300235,0.002592868,0.0006245342,0.00001856695,0.00003593367,0.0006990954,0.00004072362,0.07601201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03238576,"threshold_uncertainty_score":0.2349762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007039953613124556,"score_gpt":0.1888907665188315,"score_spread":0.1818508129057069,"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."}}