{"id":"W2168046708","doi":"10.1007/s00382-012-1288-1","title":"Wind-stress feedback amplification of abrupt millennial-scale climate changes","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of New South Wales; University of Victoria","keywords":"Wind stress; Stadial; Climatology; Geology; Glacial period; Advection; Climate model; Amplitude; Convection; Thermohaline circulation; Atmospheric sciences; Climate change; Oceanography; Meteorology; Geomorphology; Geography; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002908225,0.0002828678,0.0002700882,0.0002933496,0.0004057838,0.0007827157,0.0002314257,0.0004619628,0.004393578],"category_scores_gemma":[0.001765309,0.0003961401,0.0003233314,0.0002186976,0.0002659084,0.0007445481,0.0007700968,0.0004406197,0.0003145207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003409534,"about_ca_system_score_gemma":0.0002692362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722006,"about_ca_topic_score_gemma":0.002258784,"domain_scores_codex":[0.9999131,0.00001232642,0.000007358098,0.00002468,0.00001323329,0.00002924532],"domain_scores_gemma":[0.9995626,0.0001702419,0.0000815116,0.00004633897,0.00006808178,0.00007133719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001460302,0.0004582676,0.2555654,0.0004214442,0.0006174627,0.001645503,0.0009946985,0.1199494,0.5160249,0.01291157,0.004892115,0.085059],"study_design_scores_gemma":[0.0001176197,0.0001384927,0.8675737,0.00002473558,0.0001466068,0.0002533675,0.0003296801,0.1139565,0.007282684,0.00753871,0.00257725,0.00006056177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950492,0.0001621346,0.001198375,0.0003818533,0.00004779746,0.000006205477,0.0002253053,0.000150477,0.002778708],"genre_scores_gemma":[0.9994918,0.00004982931,0.0001250145,0.00002641762,0.00001826814,0.000001591427,0.00004277356,0.00001559245,0.0002287789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004393578,"threshold_uncertainty_score":0.01469797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852490696600139,"score_gpt":0.253374928421386,"score_spread":0.2348500214553846,"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."}}