{"id":"W4283794867","doi":"10.1002/cjs.11709","title":"Robust reflections","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Toronto","funders":"","keywords":"Robustness (evolution); Computer science; Data science; Management science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.058818,0.001840837,0.002301136,0.003583543,0.003292895,0.0151071,0.005476261,0.006017455,0.04150382],"category_scores_gemma":[0.279273,0.00123369,0.003926857,0.003166322,0.01113586,0.01037282,0.008474543,0.01908254,0.01715252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006058283,"about_ca_system_score_gemma":0.009213339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006048087,"about_ca_topic_score_gemma":0.003304283,"domain_scores_codex":[0.9297983,0.03048667,0.003808754,0.01121487,0.02243443,0.002256924],"domain_scores_gemma":[0.7969297,0.09989318,0.007433859,0.04953763,0.04224307,0.003962625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002560173,0.00004921326,0.001231972,0.0003785288,0.0002977494,0.0002100016,0.000673999,0.004157073,0.0003674204,0.6173834,0.2510062,0.1239883],"study_design_scores_gemma":[0.00005649851,0.00005740898,0.0006894753,0.0004842904,0.00007734873,0.000206959,0.0003255081,0.006617457,0.001010195,0.6338357,0.3565395,0.00009947745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00312418,0.00857584,0.5669231,0.250177,0.02516267,0.0002564096,0.004908432,0.001945589,0.1389267],"genre_scores_gemma":[0.2433445,0.01459964,0.398288,0.1547099,0.04682407,0.001589948,0.005894525,0.006406931,0.1283425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.058818,"threshold_uncertainty_score":0.311063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2609469228439956,"score_gpt":0.4105608084429413,"score_spread":0.1496138855989457,"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."}}