{"id":"W7096096411","doi":"","title":"TO THE MID-HOLOCENE: A HIGH-RESOLUTION RECORD OF CLIMATE OSCILLATIONS DURING","year":2015,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Work (physics); Climate change","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005148482,0.0001576983,0.000300533,0.0008172807,0.001028554,0.001398309,0.0004251952,0.0004702337,0.001770225],"category_scores_gemma":[0.001258932,0.0001854495,0.0001812079,0.001537288,0.0004026587,0.000426395,0.001005146,0.0007269135,0.0004339336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428946,"about_ca_system_score_gemma":0.001464717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2524127,"about_ca_topic_score_gemma":0.5228594,"domain_scores_codex":[0.9998683,0.00001970877,0.00000765138,0.00003823618,0.00002804286,0.00003813159],"domain_scores_gemma":[0.9995573,0.0000396947,0.00007538846,0.00003983904,0.0001998484,0.00008784207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001017637,0.0001057942,0.8546479,0.0003814881,0.0004953981,0.0007261603,0.00941027,0.003087401,0.01528598,0.00290094,0.02617227,0.08576884],"study_design_scores_gemma":[0.000009413582,0.000007414174,0.9839724,0.00003519194,0.00002151698,0.00003366273,0.000230362,0.0003093313,0.0001085339,0.00007229538,0.01519422,0.00000572456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662421,0.003563325,0.0009315385,0.001663114,0.0001225791,0.00002449719,0.01251288,0.0001390362,0.01480091],"genre_scores_gemma":[0.9899448,0.0008653514,0.0007980929,0.0001908478,0.0001069355,0.00001891917,0.006161878,0.00006115063,0.001852114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2524127,"threshold_uncertainty_score":0.501887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321562446578416,"score_gpt":0.2820868425898265,"score_spread":0.2499305979319849,"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."}}