{"id":"W2132253026","doi":"10.2307/3315955","title":"Worldwide research output in probability and statistics: An update","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Census and Population Estimation","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reputation; Probability and statistics; Statistics; Work (physics); Summary statistics; Official statistics; Computer science; Econometrics; Data science; Sociology; Mathematics; Social science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001344101,0.00009039038,0.0002010462,0.0004125515,0.000129686,0.00008466666,0.0001175539,0.00005306589,0.0003612809],"category_scores_gemma":[0.002178154,0.00008877164,0.00001176606,0.0002059028,0.0001501429,0.0001637421,0.000008176588,0.0003519947,0.00001069761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203426,"about_ca_system_score_gemma":0.0002619206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002038633,"about_ca_topic_score_gemma":0.129288,"domain_scores_codex":[0.9985446,0.0002154412,0.0005515232,0.0001129803,0.0002735605,0.0003018561],"domain_scores_gemma":[0.9981008,0.0004984339,0.0001801115,0.0001585397,0.0005513159,0.0005108485],"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":[0.00001954924,0.0000954873,0.08652025,0.0001942597,0.00001929896,0.0004326692,0.00394788,0.0002076926,0.000003261672,0.7301937,0.07890707,0.09945885],"study_design_scores_gemma":[0.0004916193,0.0001591581,0.07779526,0.00008697384,0.00001973814,0.0000833494,0.0001578312,0.02304012,0.000002861719,0.8897488,0.00826231,0.000152031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6860068,0.0007293736,0.3040772,0.002754555,0.000675583,0.0008271171,0.002985656,0.00001848058,0.001925299],"genre_scores_gemma":[0.6609124,0.00003435736,0.3387142,0.00004710556,0.00006640751,0.000001468205,0.00001615205,0.00001556606,0.0001923503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.159555,"threshold_uncertainty_score":0.8866003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.202202822286975,"score_gpt":0.3659845077788235,"score_spread":0.1637816854918485,"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."}}