{"id":"W2109573291","doi":"10.1002/cjs.10123","title":"A special issue of CJS in honour of Jack Kalbfleisch and Jerry Lawless","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Honour; Citation; Associate editor; Art history; Sociology; Library science; Art; Computer science; Law; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006257122,0.002166411,0.002694028,0.003979287,0.003711186,0.009698987,0.00235729,0.006289255,0.06627484],"category_scores_gemma":[0.04001912,0.0008181444,0.001451946,0.002065091,0.001958162,0.005733812,0.003610966,0.008468779,0.03427201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00324793,"about_ca_system_score_gemma":0.003987346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004120601,"about_ca_topic_score_gemma":0.01091694,"domain_scores_codex":[0.994293,0.001005736,0.0005207352,0.0009380456,0.002702036,0.0005405848],"domain_scores_gemma":[0.9639831,0.008067917,0.001645875,0.0018887,0.01666006,0.007754379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001741158,0.000006354238,0.00003751943,0.00003203867,0.00000406807,0.00003977589,0.000008814619,0.0000178122,0.00003985669,0.000450543,0.9952261,0.004119772],"study_design_scores_gemma":[0.00001382399,0.00001462898,0.0002940434,0.000085377,0.000009663108,0.0001363823,0.0000365071,0.0001501444,0.00008569416,0.001636262,0.99752,0.00001737753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001622525,0.005468556,0.0008149415,0.0810138,0.9059593,0.00003458045,0.0002218702,0.0001253005,0.006199464],"genre_scores_gemma":[0.002332233,0.00530113,0.0006505675,0.02701025,0.8947579,0.00005463455,0.0003270753,0.0004450524,0.06912106],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06627484,"threshold_uncertainty_score":0.2217115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0786945819417947,"score_gpt":0.3143178763397531,"score_spread":0.2356232943979584,"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."}}