{"id":"W2765433857","doi":"10.1002/2016pa003057","title":"The Role of Uncertainty in Estimating Lead/Lag Relationships in Marine Sedimentary Archives: A Case Study From the Tropical Pacific","year":2017,"lang":"en","type":"article","venue":"Paleoceanography","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Science Foundation of Sri Lanka","keywords":"Proxy (statistics); Paleoclimatology; Sedimentary rock; Climatology; Geology; Climate change; Lag; Environmental science; Oceanography; Paleontology; Statistics; Computer science","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":[0.0105285,0.0003130966,0.0002910308,0.00154275,0.0007746148,0.001455581,0.000887799,0.0005408798,0.000360904],"category_scores_gemma":[0.04901728,0.0002253828,0.0004074305,0.002618377,0.000792879,0.001197012,0.0007884815,0.0005791109,0.00004257075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184236,"about_ca_system_score_gemma":0.0007073676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06510255,"about_ca_topic_score_gemma":0.070732,"domain_scores_codex":[0.9975254,0.001638569,0.0002374645,0.0002007748,0.0003201153,0.00007767059],"domain_scores_gemma":[0.9293451,0.0618354,0.003414291,0.002341085,0.00279566,0.0002683861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001858476,0.0001168377,0.8222719,0.0001588286,0.000331788,0.002150089,0.001742268,0.1208682,0.001231148,0.001658417,0.0002668951,0.04901776],"study_design_scores_gemma":[0.0000368112,0.0001794614,0.353409,0.0001632691,0.0003700568,0.001434348,0.0029262,0.6300728,0.00531396,0.003884782,0.002127781,0.0000814105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880573,0.0002994107,0.01058504,0.0001829592,0.000004020662,0.00002062305,0.0001504585,0.00003008531,0.0006702017],"genre_scores_gemma":[0.994508,0.00009667187,0.005248446,0.000008359629,0.00000661766,0.00000447743,0.00007027249,0.000009629503,0.00004758626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06510255,"threshold_uncertainty_score":0.1294472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02619421166381309,"score_gpt":0.2594722389798522,"score_spread":0.2332780273160391,"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."}}