{"id":"W7019229450","doi":"","title":"Feature Story: New U of R AI Chair working to keep us safe from malicious software attacks","year":2021,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Bidding; Feature (linguistics); Software; Vintage","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":[0.0009632802,0.0008182919,0.0003288384,0.0006494793,0.00549242,0.006689235,0.0009398311,0.005028863,0.2802818],"category_scores_gemma":[0.003406448,0.0003734469,0.0005226526,0.0007161549,0.0008007517,0.003696025,0.002163303,0.004663128,0.1735317],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624608,"about_ca_system_score_gemma":0.001490135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296983,"about_ca_topic_score_gemma":0.07100476,"domain_scores_codex":[0.9991726,0.0001097884,0.00002028997,0.0001076157,0.0003625288,0.0002270631],"domain_scores_gemma":[0.9982635,0.0001872267,0.00005067194,0.0001280068,0.0005708605,0.0007997353],"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":[0.000005488938,0.000006764708,0.0000430244,0.00000489258,5.821927e-7,0.00002547026,0.00002851334,0.000007304314,0.0000273318,0.0005776605,0.9949129,0.004360021],"study_design_scores_gemma":[0.000002394457,0.000006602649,0.0001899595,0.00001074448,0.000001129483,0.00004290499,0.0001749658,0.00004468976,0.00006017749,0.0002396104,0.9992222,0.000004637833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001276005,0.001082466,0.0008690441,0.08721876,0.01616596,0.00006279247,0.001257129,0.001743867,0.890324],"genre_scores_gemma":[0.005306173,0.0004654795,0.000302519,0.01103109,0.001408826,0.00002444663,0.000647205,0.0004790074,0.9803352],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9983754,"threshold_uncertainty_score":0.937636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418580397248758,"score_gpt":0.2200629572675151,"score_spread":0.2058771532950275,"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."}}