{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004892183,0.00007825227,0.0001897103,0.0001772875,0.0004315536,0.00002209148,0.0001670927,0.00002002376,0.001259817],"category_scores_gemma":[0.001558763,0.00007919938,0.00004062622,0.0001661236,0.00006520297,0.00004821171,0.00001530154,0.0004097165,0.000002246454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002648369,"about_ca_system_score_gemma":0.0008846757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003346394,"about_ca_topic_score_gemma":0.004590432,"domain_scores_codex":[0.9989848,0.0001326049,0.000366585,0.00007751461,0.0002025946,0.0002358973],"domain_scores_gemma":[0.9983618,0.0006145126,0.0002163223,0.000115331,0.0002117739,0.0004802729],"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":[0.000009203916,0.00001937356,0.00004072162,0.00001398162,0.00002829534,0.0004360342,0.0004336124,0.002521926,0.00002626045,0.9272944,0.06012598,0.009050166],"study_design_scores_gemma":[0.000195418,0.0002053336,0.00005564198,0.000007424597,0.00004742362,0.0003774753,0.0004892463,0.0006867584,0.000009048914,0.9168253,0.08099985,0.0001010929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003406009,0.00007875618,0.995016,0.000228124,0.0006302796,0.00005459753,0.001039179,0.000004798483,0.002607698],"genre_scores_gemma":[0.03519634,0.000006223302,0.963565,0.0001843898,0.00009753789,0.000004019506,0.000004315811,0.00002218313,0.0009200017],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03485573,"threshold_uncertainty_score":0.9996532,"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."}}