{"id":"W6981786845","doi":"","title":"Feature Story: Federal funding announced for U of R researcher working to contain and combat COVID-19","year":2020,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"Historical and Architectural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Foundation (evidence); Cover (algebra); Government (linguistics)","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":[0.004123207,0.0006692969,0.0004222296,0.0007394923,0.01140527,0.006412681,0.001510897,0.01355966,0.08601645],"category_scores_gemma":[0.01095404,0.000404796,0.000731073,0.0008217624,0.001921764,0.003270788,0.004727436,0.01227838,0.03330284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006320063,"about_ca_system_score_gemma":0.02057094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2052823,"about_ca_topic_score_gemma":0.3751519,"domain_scores_codex":[0.9967663,0.0005016179,0.00007084218,0.0002134922,0.001204329,0.00124345],"domain_scores_gemma":[0.9931328,0.0008489356,0.0001519531,0.000232815,0.002172973,0.003460682],"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":[0.000007164678,0.000005571062,0.00007368766,0.000008419011,7.42423e-7,0.00003714097,0.00007440845,0.000004374303,0.00003134785,0.001382652,0.9958814,0.002492963],"study_design_scores_gemma":[0.000005095801,0.000007744291,0.0003837861,0.00002677876,0.0000014291,0.00002570038,0.0004882897,0.00001310188,0.00003449332,0.0002080265,0.9987992,0.000006452074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001835949,0.001852834,0.0003468281,0.767282,0.04391826,0.0001098049,0.002599746,0.0005008864,0.1815538],"genre_scores_gemma":[0.01097361,0.001511069,0.0006214613,0.3256989,0.004615775,0.0001653125,0.001278242,0.0002656625,0.65487],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2052823,"threshold_uncertainty_score":0.4081749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07208508356313117,"score_gpt":0.2527769467463444,"score_spread":0.1806918631832132,"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."}}