{"id":"W4396943299","doi":"10.3150/23-bej1658","title":"Kernel-weighted specification testing under general distributions","year":2024,"lang":"en","type":"article","venue":"Bernoulli","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mathematics; Kernel (algebra); Statistics; Applied mathematics; Econometrics; Discrete mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00119801,0.0001619573,0.0002822673,0.00005210414,0.0001101608,0.0001330728,0.0001850737,0.0001437269,0.0007615082],"category_scores_gemma":[0.02077091,0.0001365651,0.0001128831,0.0004826583,0.0001174266,0.00006509819,0.0000660466,0.000296882,0.0005196533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001178598,"about_ca_system_score_gemma":0.00007031018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001461638,"about_ca_topic_score_gemma":0.000002594712,"domain_scores_codex":[0.998107,0.0002737893,0.0006434475,0.0004009586,0.000291503,0.0002833121],"domain_scores_gemma":[0.975499,0.02377665,0.00008768392,0.0003983606,0.0001146321,0.0001236779],"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":[0.000006270111,0.00008515082,0.0001607018,0.00005847896,0.00004863524,0.00001564449,0.00002391241,0.000002325191,0.001311569,0.9672922,0.01082475,0.02017036],"study_design_scores_gemma":[0.0001567278,0.00003347485,0.001762296,0.0001087978,0.00009578603,0.00001171171,0.00001264347,0.004793366,0.001313261,0.9826645,0.008871642,0.0001757942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01847442,0.0001779661,0.9642984,0.001512865,0.001316655,0.0003407011,0.000247158,0.0006161547,0.01301573],"genre_scores_gemma":[0.06790102,0.00001918014,0.9279221,0.00007162306,0.001267286,0.00004872432,0.00002326264,0.00004840524,0.002698403],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0494266,"threshold_uncertainty_score":0.9874775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6425468127766307,"score_gpt":0.5567862035939477,"score_spread":0.08576060918268302,"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."}}