{"id":"W6986916913","doi":"","title":"Release: Government of Canada Invests $1.8 Million in Research at the University of Regina","year":2004,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Diversification (marketing strategy); Public policy; Government spending","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":[0.0006836334,0.0001836652,0.0004752636,0.0003681401,0.0001486187,0.000007188975,0.002552902,0.0001847335,0.00004713512],"category_scores_gemma":[0.00005293613,0.0002027995,0.0001164858,0.001410596,0.0006617261,0.0001696497,0.001233593,0.0003433708,0.00001054862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626492,"about_ca_system_score_gemma":0.001477126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.142433,"about_ca_topic_score_gemma":0.8667659,"domain_scores_codex":[0.9969766,0.0003327737,0.00002362852,0.0005154499,0.001791293,0.0003602319],"domain_scores_gemma":[0.9974569,0.0001169134,0.0005713901,0.001573044,0.0001493447,0.0001324218],"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":[0.00002811912,0.00002473726,0.0005646062,0.0001121628,0.00006871873,0.0001782428,0.0002703438,0.0001608892,0.00005103352,0.003548959,0.9944537,0.0005385433],"study_design_scores_gemma":[0.0005262605,0.00005771055,0.001032343,0.0004831245,0.00004011947,0.000003458262,0.002682943,0.0003541086,0.00007339373,0.00001127488,0.9945669,0.000168413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.008067681,0.001822846,0.00637111,0.9143926,0.0001693179,0.0006072022,0.0002604555,0.00004631401,0.06826251],"genre_scores_gemma":[0.002998468,0.001174451,0.003037587,0.00001534081,0.00001190853,5.874669e-8,0.00001210027,0.00003612913,0.9927139],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9244515,"threshold_uncertainty_score":0.8632776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019857506892555,"score_gpt":0.2205095222483232,"score_spread":0.2006520153557682,"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."}}