{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003389137,0.001116658,0.001006121,0.001597855,0.0006592926,0.0008746739,0.002594047,0.001345087,0.006991559],"category_scores_gemma":[0.009356787,0.000500903,0.002071492,0.001835778,0.001051418,0.001963577,0.001269914,0.002721831,0.001104909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596377,"about_ca_system_score_gemma":0.001705849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335925,"about_ca_topic_score_gemma":0.009291928,"domain_scores_codex":[0.9989796,0.0003540632,0.00003330905,0.000276802,0.0001763079,0.0001798662],"domain_scores_gemma":[0.9958602,0.002583914,0.0006382003,0.0004142248,0.0002737167,0.0002297022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004062566,0.0001739045,0.01866522,0.0002079023,0.0003760603,0.0004389315,0.000549153,0.6245321,0.008992146,0.2967013,0.002526039,0.04643096],"study_design_scores_gemma":[0.00004191737,0.0001545684,0.004666491,0.00002337683,0.000121602,0.0002388679,0.00005385542,0.9211421,0.0006153858,0.06961499,0.00326588,0.00006091983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05115777,0.0003648792,0.9451011,0.0004472037,0.00005771339,0.00006605064,0.0008196444,0.0003101439,0.001675499],"genre_scores_gemma":[0.8224565,0.001310497,0.1543851,0.0002532503,0.0002113003,0.0005878343,0.002147907,0.0002028152,0.01844475],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01335925,"threshold_uncertainty_score":0.02656299,"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."}}