{"id":"W4389327349","doi":"10.1130/abs/2023am-393822","title":"CORRELATING MULTI-PROXY DATA ACROSS MULTIPLE BASINS IN WALDEN POND (MA, USA): EVIDENCE OF SUDDEN ONSET EVENTS AND HUMAN IMPACT","year":2023,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University; McMaster University","funders":"","keywords":"Proxy (statistics); Geology; Physical geography; Climatology; Geography; Computer science; Machine learning","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":[0.005709656,0.0002675948,0.000711614,0.0000654813,0.0002481609,0.000130426,0.001633572,0.0001652606,0.0001089527],"category_scores_gemma":[0.002947349,0.0001731881,0.0001603844,0.001464424,0.001347293,0.0009246529,0.002008828,0.0003877652,0.0000520803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004111671,"about_ca_system_score_gemma":0.00007494649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008418418,"about_ca_topic_score_gemma":0.001660668,"domain_scores_codex":[0.9955927,0.0002859159,0.00119138,0.0009515918,0.001282413,0.0006960223],"domain_scores_gemma":[0.9949161,0.002548734,0.001000991,0.001163868,0.0001810174,0.000189291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001298874,0.0005284363,0.9206993,0.00008391247,0.00008826008,0.00001911171,0.003166534,0.001152544,0.0001142855,0.000005372318,0.001811382,0.07220101],"study_design_scores_gemma":[0.000959282,0.0009317335,0.9687508,0.0002420624,0.00002191337,0.000005203088,0.01134543,0.01574819,0.00002204797,0.0002629073,0.0014759,0.0002345452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969574,0.00008717425,0.0009935773,0.0007331164,0.00003677836,0.0007808488,0.0003161338,0.00005666247,0.00003826706],"genre_scores_gemma":[0.9799597,0.0001069789,0.01924708,0.0001637671,0.00001457739,0.00002802379,0.000239439,0.000011532,0.0002288765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07196646,"threshold_uncertainty_score":0.9981846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3014901447432288,"score_gpt":0.4714602040753337,"score_spread":0.169970059332105,"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."}}