{"id":"W2032916024","doi":"10.1111/j.1751-5823.2002.tb00178.x","title":"On Choosing and Bounding Probability Metrics","year":2002,"lang":"en","type":"article","venue":"International Statistical Review","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":1204,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bounding overwatch; Metric (unit); Convergence (economics); Mathematics; Computer science; Mathematical optimization; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.03748922,0.002487902,0.002704095,0.005411425,0.002328569,0.00501334,0.002681845,0.003765523,0.00474393],"category_scores_gemma":[0.1273242,0.00099219,0.001930548,0.004167788,0.009642236,0.01772406,0.006059724,0.01037709,0.001903921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003432353,"about_ca_system_score_gemma":0.001217108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564123,"about_ca_topic_score_gemma":0.0009006594,"domain_scores_codex":[0.9768538,0.01464557,0.001384698,0.002291831,0.004153055,0.0006710207],"domain_scores_gemma":[0.852068,0.1238492,0.00546203,0.006569994,0.01012384,0.00192684],"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":[0.00002114423,0.00001363462,0.000405827,0.0002136358,0.000025368,0.0001372205,0.0002258122,0.01316825,0.0004372081,0.9611127,0.003315843,0.0209233],"study_design_scores_gemma":[0.000003225455,0.00002612321,0.0001828336,0.0001870649,0.00001029976,0.0001253412,0.00005209464,0.02487333,0.0003464752,0.9678416,0.006327924,0.00002382766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008714172,0.01730264,0.9406816,0.007153345,0.0006879052,0.00007677075,0.00009397345,0.0001873997,0.02510218],"genre_scores_gemma":[0.3566495,0.0324857,0.5833833,0.004747985,0.004208121,0.0009387376,0.0003972407,0.001141204,0.01604827],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03748922,"threshold_uncertainty_score":0.1982643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2082485533330793,"score_gpt":0.4373832283630112,"score_spread":0.229134675029932,"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."}}