{"id":"W4214559562","doi":"10.11159/icsta21.139","title":"The Concept of Statistical Evidence","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA ...)","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0009271057,0.0001395369,0.0002272863,0.00002637224,0.0002156837,0.00007202675,0.0005332747,0.00004747194,0.0001227046],"category_scores_gemma":[0.006489336,0.00009102283,0.00004279705,0.0001127188,0.000792188,0.00008428276,0.0002193988,0.0002105227,0.000001924388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002754791,"about_ca_system_score_gemma":0.0001005727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003142157,"about_ca_topic_score_gemma":0.000002818645,"domain_scores_codex":[0.9985876,0.00006431807,0.0004993633,0.0002760352,0.0004179958,0.0001546503],"domain_scores_gemma":[0.9911172,0.006836003,0.0004019637,0.0002093265,0.001371533,0.00006391609],"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":[0.00009511808,0.00007222236,0.00003691068,0.00005540057,0.00004528305,3.109866e-7,0.0001427049,0.000002165414,0.003464151,0.9746829,0.0009210118,0.02048181],"study_design_scores_gemma":[0.0001470526,0.0000424519,0.0001176452,0.0001480412,0.00004954899,0.000006488567,0.0009495612,0.0008677173,0.0115544,0.9841466,0.001873298,0.0000971816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001577588,0.0001297369,0.9897686,0.001027363,0.0001090777,0.0003194688,0.001166024,0.00001483773,0.005887352],"genre_scores_gemma":[0.6699233,0.0005041446,0.3267861,0.0001585882,0.0000865101,0.0001404013,0.00001190018,0.00002284966,0.002366226],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6683457,"threshold_uncertainty_score":0.7768811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1260438901820655,"score_gpt":0.4259855584705387,"score_spread":0.2999416682884732,"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."}}