{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008371011,0.0001792929,0.0003512609,0.001365665,0.0006559882,0.001119489,0.0007673641,0.0005805887,0.0007040945],"category_scores_gemma":[0.005447758,0.0002654863,0.0002153468,0.003064617,0.0009096755,0.0008714632,0.001317024,0.000496017,0.00009622639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131038,"about_ca_system_score_gemma":0.001732555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2255937,"about_ca_topic_score_gemma":0.5318636,"domain_scores_codex":[0.9994383,0.0001670449,0.00006067463,0.0001114818,0.0001444386,0.00007801899],"domain_scores_gemma":[0.9971257,0.0009367351,0.0008080411,0.0002260728,0.0005717642,0.0003316801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005927873,0.00003528895,0.9915835,0.00001766498,0.0001133852,0.000173289,0.0005044964,0.0008806135,0.0007296727,0.00008715197,0.0006160443,0.005199478],"study_design_scores_gemma":[0.000005680628,0.000008985673,0.9967434,0.000008430775,0.00003031875,0.00002785882,0.0006397494,0.001925954,0.0001383158,0.00007174584,0.0003945575,0.000005030017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981905,0.00006408316,0.0002396122,0.0001638702,0.000005440091,0.000006916876,0.0006623277,0.00002035165,0.000646823],"genre_scores_gemma":[0.9987127,0.00005369327,0.0004460597,0.00004036568,0.000004182464,0.000009430831,0.0005644482,0.0000053498,0.0001637794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2255937,"threshold_uncertainty_score":0.4485613,"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."}}