{"id":"W4301257771","doi":"","title":"A kernel method for modelling interval censored competing risks: theory and methods","year":2009,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Kernel (algebra); Mathematics; Interval (graph theory); Applied mathematics; Statistics; Mathematical economics; Econometrics; Discrete mathematics; Combinatorics","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":[0.009267149,0.0001297389,0.0001795098,0.00001941842,0.0003524065,0.0001816212,0.0003082615,0.00007936585,0.00003651968],"category_scores_gemma":[0.0006454249,0.00006818655,0.00008931716,0.0001581707,0.00004249909,0.00005945604,0.00009403767,0.0001203578,0.00000174357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001088192,"about_ca_system_score_gemma":0.000006648264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002715226,"about_ca_topic_score_gemma":0.0001696883,"domain_scores_codex":[0.9959517,0.003151071,0.0002304981,0.0003285487,0.0001057583,0.0002324153],"domain_scores_gemma":[0.9947284,0.004514635,0.0001397094,0.0001295917,0.0003867283,0.0001009077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000279988,0.00008222548,0.000348024,0.00001008412,0.00001433938,4.035465e-7,0.00193622,0.0001240718,0.1570426,0.09605014,0.00004562306,0.7443183],"study_design_scores_gemma":[0.0006271646,0.000007233068,0.01324528,0.0005988454,0.00007082622,0.00003164409,0.001369883,0.7195491,0.1451998,0.09094735,0.02771019,0.0006427224],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2720333,0.0006527978,0.7193438,0.003442204,0.00004032196,0.0001996216,0.0000315801,0.00006937893,0.004187023],"genre_scores_gemma":[0.5339903,0.0001379202,0.4652175,0.0001255338,0.00002252465,0.000006784699,0.00005750929,0.000001492608,0.0004404237],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7436756,"threshold_uncertainty_score":0.3211828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04305496538304186,"score_gpt":0.2889274109641568,"score_spread":0.2458724455811149,"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."}}