{"id":"W4249136573","doi":"10.5194/cp-2020-112","title":"Atlantic Hurricane response to Sahara greening and reduced dust emissions during the mid-Holocene","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Climatology; Insolation; Environmental science; Holocene; Vegetation (pathology); Boreal; Greening; Climate change; Atmospheric sciences; Forcing (mathematics); Seasonality; Tropical cyclone; Oceanography; Geography; Geology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002308189,0.0002802058,0.0003585819,0.0000967505,0.0004463828,0.0002555285,0.0006335413,0.0001960386,0.002719541],"category_scores_gemma":[0.0005264843,0.0001622194,0.0001052988,0.0003392957,0.0001513358,0.00005241576,0.0003758511,0.001110952,0.0003361486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001037776,"about_ca_system_score_gemma":0.0001123234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009562392,"about_ca_topic_score_gemma":0.001101834,"domain_scores_codex":[0.9975152,0.0003613601,0.0003331105,0.0007215716,0.0005019971,0.0005667653],"domain_scores_gemma":[0.9981592,0.0005092279,0.00005522349,0.0004222851,0.00004374927,0.0008103154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004476805,0.00003583713,0.9539013,0.0003397449,0.0001100608,0.000535746,0.0007155619,0.001656615,0.01436687,0.00003846797,0.002602207,0.0212208],"study_design_scores_gemma":[0.0001899811,0.0001401453,0.9950786,0.00007241825,0.0000167151,0.0000362762,0.0001193375,0.001116549,0.0003256088,0.0002227406,0.002425692,0.0002559551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684017,0.0003273649,0.00007456928,0.02962318,0.0001795831,0.0004113452,0.00006346048,0.0001090993,0.0008096696],"genre_scores_gemma":[0.9972833,0.0001135632,0.0007853277,0.0004704272,0.0003219098,0.000006601246,0.00004327082,0.000008897608,0.0009666792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0411773,"threshold_uncertainty_score":0.9981921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03523457950066671,"score_gpt":0.2720595363302811,"score_spread":0.2368249568296144,"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."}}