{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002927219,0.0002263601,0.0003125046,0.00003404058,0.0001251669,0.0001342524,0.0001795292,0.0002166059,0.005747513],"category_scores_gemma":[0.00001116461,0.00008764571,0.00003521317,0.00004357842,0.00008626624,0.0001316515,0.00007952005,0.0001117329,0.000004473071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003004288,"about_ca_system_score_gemma":0.00008084659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.322467,"about_ca_topic_score_gemma":0.7838232,"domain_scores_codex":[0.9989465,0.00003778941,0.0002122018,0.0003571575,0.00008261116,0.0003636694],"domain_scores_gemma":[0.9996557,0.00005595283,0.00009138948,0.000067045,0.00002260826,0.0001073622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000690515,0.0001588184,0.6949749,0.0003928688,0.00005075291,0.0001008909,0.001837105,0.000006029689,0.00002036064,0.03215783,0.2449128,0.02531856],"study_design_scores_gemma":[0.00008424796,0.0000720793,0.1454094,0.00002779105,0.000003924687,0.000001614293,0.006199643,0.00002879728,0.000001287763,0.0004707969,0.8474365,0.0002638889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4186278,0.00006005372,3.839426e-7,0.0008598566,0.00003886934,0.0003511785,0.00001106343,0.00009616261,0.5799546],"genre_scores_gemma":[0.09305169,0.0001878718,0.00006257243,0.0001485748,0.0001237084,0.00003053203,0.0001487297,0.000006824948,0.9062395],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6025237,"threshold_uncertainty_score":0.9951614,"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."}}