{"id":"W4408470874","doi":"10.21083/ruralreview.v7i1.7379","title":"From Clay to Crop: Demystifying Agriculture in Northern Ontario","year":2023,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Agriculture; Crop; Environmental science; Agroforestry; Agronomy; Geography; Archaeology; Forestry; Biology","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":[0.001173743,0.0002129042,0.0002030634,0.0007893314,0.01557153,0.004421521,0.001087057,0.0008440643,0.005080717],"category_scores_gemma":[0.001923934,0.0002132819,0.0001978696,0.00168081,0.007120879,0.001607975,0.003340228,0.001313614,0.0003273264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07452121,"about_ca_system_score_gemma":0.1056524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9694726,"about_ca_topic_score_gemma":0.9929114,"domain_scores_codex":[0.9988993,0.0002238308,0.00003151177,0.0001149889,0.0003015215,0.0004287806],"domain_scores_gemma":[0.9979232,0.0004048959,0.000201141,0.0001373232,0.0005413434,0.0007921011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001294392,0.00005563606,0.03796889,0.0005020726,0.0000167381,0.005894138,0.8242405,0.0003659786,0.005594066,0.0209701,0.03608301,0.06817938],"study_design_scores_gemma":[0.000007533261,0.00003935622,0.05556536,0.000233689,0.0000151066,0.0003473,0.542368,0.0002185849,0.0006468234,0.001795403,0.3987245,0.00003835847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8158171,0.002144388,0.001294859,0.02504001,0.0002780394,0.0001703563,0.0005497516,0.00008564581,0.1546199],"genre_scores_gemma":[0.9359869,0.002340572,0.001520982,0.002030192,0.00002892796,0.00006190715,0.0002181933,0.0000597597,0.05775245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07452121,"threshold_uncertainty_score":0.5406917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253781125640451,"score_gpt":0.2552531648101573,"score_spread":0.2298750522461122,"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."}}