{"id":"W3012165066","doi":"","title":"FuDGE: Functional Differential Graph Estimation with fully and discretely observed curves.","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"Functional data analysis; Generalization; Graph; Graphical model; Lasso (programming language); Mathematics; Function (biology); Computer science; Algorithm; Applied mathematics; Theoretical computer science; Artificial intelligence; Machine learning; Mathematical analysis","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":[0.005735028,0.001752754,0.001876407,0.002443338,0.0007665108,0.001486245,0.002840311,0.002964437,0.002735904],"category_scores_gemma":[0.02614724,0.001246656,0.001810048,0.001729521,0.002328789,0.003124103,0.003242497,0.003327269,0.0009393315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376361,"about_ca_system_score_gemma":0.001523526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006313246,"about_ca_topic_score_gemma":0.006075221,"domain_scores_codex":[0.9977461,0.001350655,0.00007119717,0.0004524846,0.0002772431,0.0001022962],"domain_scores_gemma":[0.991638,0.006205014,0.0006371622,0.0008924374,0.0003768,0.0002506609],"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":[0.0001773425,0.0001372149,0.004955565,0.0003598051,0.0004170008,0.000282107,0.0003424993,0.6942159,0.002942532,0.1146818,0.00884677,0.1726415],"study_design_scores_gemma":[0.0000154433,0.00002483025,0.0004693457,0.00002907026,0.00001874908,0.0000713751,0.00002407503,0.9146471,0.00053884,0.08157279,0.002566444,0.00002194131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002819098,0.0002045827,0.995903,0.0002198621,0.00002043005,0.00003376756,0.0001658405,0.0003659131,0.000267571],"genre_scores_gemma":[0.1941086,0.0007845658,0.7972152,0.0006631289,0.0001397156,0.0005102631,0.002481596,0.0006464873,0.003450544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006313246,"threshold_uncertainty_score":0.03033006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07448944077871525,"score_gpt":0.245129382866863,"score_spread":0.1706399420881477,"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."}}