{"id":"W2591829715","doi":"","title":"Connecting process to high resolution paleorecords: long term investigations of linked Arctic climate-hydrology-lacustrine sedimentary processes","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Term (time); Hydrology (agriculture); Geology; Arctic; Sedimentary rock; Environmental science; Earth science; Oceanography; Paleontology","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":[0.0006865222,0.0001546717,0.0002416521,0.00007835196,0.0002594903,0.00003401077,0.0001686417,0.00008605738,0.00003309601],"category_scores_gemma":[0.001402719,0.0001245227,0.00002574361,0.0004328337,0.00007018766,0.0002524079,0.00004535026,0.0001387901,0.00009563428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001398546,"about_ca_system_score_gemma":0.00006062074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009742248,"about_ca_topic_score_gemma":0.03903476,"domain_scores_codex":[0.9985508,0.00009087704,0.0004018616,0.0003068429,0.0002622371,0.0003873334],"domain_scores_gemma":[0.9989694,0.0002005366,0.000179483,0.0001129944,0.0003237273,0.0002138678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000630287,0.00002267746,0.9611213,0.0001530429,0.00001569825,0.00000353915,0.001028745,0.03621837,0.000032233,0.000008124979,0.0001466199,0.001186631],"study_design_scores_gemma":[0.001071685,0.001317168,0.9763041,0.0004910366,0.00009716364,0.00002095505,0.005279329,0.01137885,0.0006579525,0.002443593,0.0004188926,0.0005193254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962797,0.0006239642,0.00008822891,0.00154726,0.0002602208,0.0003132276,0.00002181726,0.00007969144,0.0007858966],"genre_scores_gemma":[0.9971772,0.00006506169,0.00197815,0.0002667387,0.0002077927,0.00001035343,0.0002810161,0.000004656609,0.000008965564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02929251,"threshold_uncertainty_score":0.996852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04392820063668131,"score_gpt":0.2567302537783824,"score_spread":0.2128020531417011,"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."}}