{"id":"W7051420821","doi":"","title":"Ontario Ministry of Agriculture, Food, and Rural Affairs and University of Guelph Agreement Consolidated Annual Report 2016/2017","year":2018,"lang":"en","type":"report","venue":"The Atrium (University of Guelph)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Annual report; Christian ministry; Ninth; General partnership; Rural area","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":[],"consensus_categories":[],"category_scores_codex":[0.0003535926,0.0002211107,0.0005193074,0.0000765988,0.0002156705,0.000008359094,0.0003369967,0.0001418993,0.0004255346],"category_scores_gemma":[0.000005049155,0.0002056138,0.0001456082,0.0001324855,0.0006286749,0.0001783457,0.0003745256,0.000210951,0.00000675288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007207593,"about_ca_system_score_gemma":0.0006810625,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02344325,"about_ca_topic_score_gemma":0.004493515,"domain_scores_codex":[0.9988852,0.00004150716,0.0002463514,0.0002558621,0.000358087,0.0002130452],"domain_scores_gemma":[0.9980498,0.00003452201,0.0009271167,0.00036801,0.000525105,0.0000954375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001681357,0.0006378337,0.6053324,0.001366173,0.006564014,0.0002463048,0.04395623,0.000009618276,0.05649751,0.0002694672,0.2768623,0.006576851],"study_design_scores_gemma":[0.001416689,0.0003517197,0.8935011,0.0002799193,0.0007516219,0.00005895812,0.0300535,0.00001416846,0.001620833,0.00007496651,0.07141794,0.0004585662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747932,0.0002152212,0.00004192751,0.00007021337,0.0001590719,0.0002280411,0.0005018284,0.000008398796,0.02398211],"genre_scores_gemma":[0.9838058,0.000148415,0.000143515,9.009362e-7,0.00006820382,7.057334e-8,0.0001873352,0.00000615505,0.01563958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2881688,"threshold_uncertainty_score":0.9830597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660771411232001,"score_gpt":0.2139515683842285,"score_spread":0.1973438542719085,"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."}}