{"id":"W7030372342","doi":"","title":"A Multivariate Survival Model for Studying Time to Emergence of Different Species of Weed","year":2021,"lang":"en","type":"report","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Multivariate statistics; Dependency (UML); Covariance; Graphical model; Multivariate analysis; Piecewise; Weed; Joint probability distribution; Proportional hazards model","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007151262,0.0003591416,0.001083688,0.0001926972,0.00006137196,0.0000547296,0.001216874,0.0001878407,0.0001663183],"category_scores_gemma":[0.0002411782,0.0003011669,0.0003227266,0.0003190046,0.00003519686,0.0001018028,0.0007874774,0.0001799478,0.000009072321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005353048,"about_ca_system_score_gemma":0.0009171595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003255231,"about_ca_topic_score_gemma":0.00004730393,"domain_scores_codex":[0.9968476,0.00006746461,0.0009560722,0.0007499464,0.001019199,0.0003596732],"domain_scores_gemma":[0.9966968,0.0001909689,0.0004388953,0.0009540232,0.001580405,0.000138911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002952191,0.00523108,0.0006633411,0.008142675,0.00353379,0.0000484088,0.01385508,0.1578964,0.4187568,0.168293,0.07624969,0.1470345],"study_design_scores_gemma":[0.0002007162,0.0001429028,0.0002968512,0.0004079062,0.00005616768,0.000001832981,0.00005130941,0.9928396,0.003856128,0.00151502,0.0002140207,0.0004175195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001262068,0.0001194942,0.9844451,0.0001065916,0.0006085877,0.0005534439,0.00007189288,0.00006806788,0.01276473],"genre_scores_gemma":[0.6147892,0.0001768059,0.2725511,0.0000520476,0.000225407,0.0002359099,0.00005880767,0.00007150314,0.1118392],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8349432,"threshold_uncertainty_score":0.999944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.161480694704831,"score_gpt":0.3372455439338393,"score_spread":0.1757648492290083,"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."}}