{"id":"W7056655855","doi":"","title":"Feature Story: Alumni shine at 2017 City of Regina Writing Awards","year":2017,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Journalism; Government (linguistics); Feature (linguistics); Poetry; Creative writing","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":[0.002409269,0.001011702,0.000529367,0.001167652,0.01262822,0.01265214,0.001652775,0.004428048,0.2036116],"category_scores_gemma":[0.006964102,0.0003499243,0.0006490966,0.001077219,0.00167058,0.003611599,0.006270485,0.008000674,0.1181379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0028398,"about_ca_system_score_gemma":0.005031225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418202,"about_ca_topic_score_gemma":0.05051005,"domain_scores_codex":[0.9975845,0.0002791342,0.00005018504,0.0001866604,0.000917724,0.000981876],"domain_scores_gemma":[0.9956996,0.0002044567,0.0001227727,0.0001480075,0.001139149,0.00268605],"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":[0.000009410669,0.00001272611,0.0001148229,0.000008143564,7.34891e-7,0.0000710376,0.0001651058,0.000006672343,0.00001509688,0.0008594086,0.9945315,0.004205204],"study_design_scores_gemma":[0.000003407126,0.000009715159,0.000298165,0.00002207566,9.092097e-7,0.00004947797,0.001052785,0.000009067649,0.00003320178,0.0001621273,0.9983537,0.000005441177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007766826,0.002678272,0.000296593,0.255869,0.1201154,0.0001318765,0.001332157,0.00113787,0.6106721],"genre_scores_gemma":[0.0143961,0.0009115619,0.00009876984,0.02182888,0.008972751,0.00005199953,0.0004307129,0.0003948507,0.9529145],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.985818,"threshold_uncertainty_score":0.6811486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525182503402945,"score_gpt":0.2402000457413456,"score_spread":0.2249482207073162,"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."}}