{"id":"W2998014547","doi":"10.1007/s00382-019-05102-7","title":"Near-term impacts of climate variability and change on hydrological systems in West and Central Africa","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Coventry University","keywords":"Climate change; Teleconnection; Climatology; Environmental science; Evapotranspiration; Precipitation; Streamflow; Climate model; Water resources; Representative Concentration Pathways; Geography; Drainage basin; Meteorology; Geology; Ecology","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":[0.0005109294,0.0001879794,0.000347692,0.00001853796,0.0000857783,0.00005062139,0.0001335954,0.000151574,0.0000893569],"category_scores_gemma":[0.0001074259,0.0001632784,0.00003580895,0.0001638241,0.0003627492,0.0001795966,0.0004156478,0.0001886249,0.00001628558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001503504,"about_ca_system_score_gemma":0.000005779829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002013459,"about_ca_topic_score_gemma":0.0001437477,"domain_scores_codex":[0.998289,0.0001424601,0.0003665212,0.0004814521,0.0001672597,0.0005532692],"domain_scores_gemma":[0.9992372,0.0001727696,0.0001099654,0.0002225337,0.000005226866,0.0002522614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002163088,0.000241331,0.989085,0.0004341321,0.000005317511,0.00001664564,0.003254536,0.003216405,0.0007696947,0.001921009,0.000003920188,0.0008357518],"study_design_scores_gemma":[0.0003472087,0.0002299119,0.4861026,0.00003336315,0.00001170104,0.000005350709,0.0000856093,0.5128705,0.000002781228,0.0001496615,0.00003102639,0.000130325],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966698,0.00003288613,0.00002136476,0.0005909419,0.00006536258,0.0004496248,0.0002984766,0.00003710122,0.001834499],"genre_scores_gemma":[0.9987631,0.0008303265,0.000134823,0.0001931948,0.00001738959,0.00001901155,0.00002871816,0.00001276465,6.13434e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.509654,"threshold_uncertainty_score":0.6658298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849508805194775,"score_gpt":0.2363996780833997,"score_spread":0.207904590031452,"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."}}