{"id":"W4408460565","doi":"10.21083/ruralreview.v6i1.6946","title":"Aggregates & Agriculture: Cultivating neighbourly relations between critical industries","year":2022,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Agriculture; Environmental science; Agricultural engineering; Business; Economics; Engineering; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001040239,0.0002124943,0.0001557769,0.0006426016,0.007967202,0.003166248,0.0007795458,0.0005420449,0.01190127],"category_scores_gemma":[0.001415414,0.0001746694,0.000156455,0.001354476,0.004864662,0.001401404,0.003910449,0.0006054196,0.0006925809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01968178,"about_ca_system_score_gemma":0.03434526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5455286,"about_ca_topic_score_gemma":0.8832672,"domain_scores_codex":[0.9992962,0.0002254557,0.00001573186,0.00007866832,0.0002261491,0.0001578009],"domain_scores_gemma":[0.9989643,0.0002138296,0.0001711723,0.00006897143,0.0002213762,0.0003604353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002339289,0.0002761399,0.04292606,0.002977391,0.00004156493,0.002572294,0.2375443,0.0008238003,0.01138464,0.1017788,0.07941683,0.5200242],"study_design_scores_gemma":[0.00002659118,0.0001417851,0.06623648,0.0006532652,0.00003186052,0.0003097557,0.0993691,0.000247968,0.0007828147,0.008063983,0.8241152,0.00002131711],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4060154,0.008694518,0.006086975,0.02166613,0.0002855966,0.0006535221,0.0004499562,0.0001362846,0.5560117],"genre_scores_gemma":[0.9235281,0.005577642,0.005130677,0.0007737053,0.00004111416,0.0001323829,0.0001226331,0.00002861892,0.06466513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5455286,"threshold_uncertainty_score":0.9142958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04051351573690425,"score_gpt":0.2780674204497535,"score_spread":0.2375539047128493,"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."}}