{"id":"W4283795698","doi":"10.1002/cjs.11716","title":"The Canadian Statistical Sciences Institute 2003–2022","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Statistical analysis; Library science; Political science; Engineering ethics; Engineering; Computer science; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02687087,0.001336652,0.002290999,0.00929952,0.005120385,0.006511194,0.003314669,0.001629415,0.03855944],"category_scores_gemma":[0.1203716,0.00133777,0.001539055,0.01814669,0.002816178,0.001530142,0.00339339,0.005114874,0.01236765],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07814399,"about_ca_system_score_gemma":0.3388104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9588143,"about_ca_topic_score_gemma":0.9632191,"domain_scores_codex":[0.9588554,0.007157031,0.002628845,0.002945356,0.02620099,0.002212354],"domain_scores_gemma":[0.7945532,0.01131879,0.004886815,0.01163481,0.1701026,0.007503876],"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":[0.0001163132,0.00002010625,0.005060101,0.0002600795,0.0001339432,0.00005499766,0.0001193686,0.0009669219,0.0001527476,0.02095468,0.9008207,0.07133989],"study_design_scores_gemma":[0.00008627292,0.0000472318,0.0247641,0.000586956,0.0001083993,0.00008970014,0.000161703,0.002853275,0.0004499333,0.006963575,0.9637815,0.0001073248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.007448883,0.03566244,0.1092269,0.1360786,0.01932663,0.002706748,0.3628396,0.007909765,0.3188003],"genre_scores_gemma":[0.1211903,0.04119395,0.1808525,0.02898912,0.004903631,0.005320791,0.2566659,0.005703695,0.3551801],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.921856,"threshold_uncertainty_score":0.566977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472556427939644,"score_gpt":0.2468559325748882,"score_spread":0.2221303682954918,"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."}}