{"id":"W7023666247","doi":"","title":"An Ontario \"First\" in creating economic opportunities and a more sustainable Oxford County","year":2014,"lang":"en","type":"other","venue":"","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Government (linguistics); Work (physics); Sustainable development","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":[0.001093393,0.0003444004,0.0002189006,0.0009253928,0.01063549,0.006525475,0.0008904549,0.002694997,0.09671347],"category_scores_gemma":[0.002242979,0.0004498653,0.0003815883,0.001296317,0.002073393,0.001876047,0.003004609,0.002084424,0.006992009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03775128,"about_ca_system_score_gemma":0.09287935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.907583,"about_ca_topic_score_gemma":0.9891827,"domain_scores_codex":[0.998705,0.00009282127,0.00002671632,0.000102957,0.0006080084,0.0004645288],"domain_scores_gemma":[0.9968593,0.0001188449,0.00007506482,0.0001038133,0.0008251971,0.00201776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007933236,0.00005975975,0.005177448,0.0001978668,0.000008363403,0.0003591149,0.002271793,0.0002056805,0.000611262,0.04925215,0.881156,0.06062136],"study_design_scores_gemma":[0.000009508042,0.00001229551,0.004070103,0.00007132889,0.000004825698,0.00006342115,0.001744326,0.00006357993,0.0001678594,0.001112995,0.9926696,0.00001004265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01848129,0.003768894,0.001523853,0.05088652,0.001632826,0.0002498244,0.002339588,0.0003219068,0.9207953],"genre_scores_gemma":[0.03614607,0.001532219,0.001986247,0.003495772,0.00007876793,0.00005579003,0.0003762577,0.0001404336,0.9561885],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09671347,"threshold_uncertainty_score":0.3235388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693182806523494,"score_gpt":0.2107981121392528,"score_spread":0.1938662840740179,"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."}}