{"id":"W2997624667","doi":"","title":"Using Midges to Assess Past Climate Change in New England and the Canadian Arctic.","year":2005,"lang":"en","type":"article","venue":"AGUSM","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Arctic; Climatology; The arctic; Geography; Physical geography; Environmental science; Meteorology; Oceanography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005419769,0.00006840099,0.0001159954,0.0001116445,0.0002171494,0.00003939857,0.0001209772,0.00007614439,0.0003931809],"category_scores_gemma":[0.00005279367,0.00004612438,0.00001230088,0.0001422437,0.0001168743,0.00009199931,0.00001251048,0.000169081,0.0001903587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002789366,"about_ca_system_score_gemma":0.00008645814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4815823,"about_ca_topic_score_gemma":0.9952282,"domain_scores_codex":[0.9991397,0.0001446176,0.00008763536,0.0001422493,0.00007191291,0.0004139481],"domain_scores_gemma":[0.9994281,0.0002288162,0.00001491742,0.00009760464,0.00001507739,0.0002155158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003470146,0.000001447251,0.991888,0.000004719827,0.000003515405,0.00002852512,0.0008471772,0.00009300967,2.511332e-7,0.0002644873,0.00002459761,0.006809497],"study_design_scores_gemma":[0.0006010935,0.00001833742,0.9925703,0.00001154007,0.000004239506,0.00009230106,0.00004195523,0.002226699,0.000002366095,0.0001792219,0.004189547,0.00006242588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806308,0.0009847573,0.000001344688,0.01472082,0.00008987739,0.0001818633,0.00000797446,0.000005495351,0.003377137],"genre_scores_gemma":[0.997638,0.00009799765,0.0003506904,0.001621849,0.0002026477,0.000001420178,0.000008889354,0.000001399882,0.00007707901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5136458,"threshold_uncertainty_score":0.5218699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09388546429550966,"score_gpt":0.3027866654580859,"score_spread":0.2089012011625763,"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."}}