{"id":"W4238414622","doi":"10.4095/301199","title":"Climate Warming - Global Annual Precipitation Scenario: 2100","year":2010,"lang":"en","type":"report","venue":"","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Climatology; Environmental science; Climate simulation; Global warming; Climate change; Climate model; Meteorology; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004029281,0.001016834,0.0004619027,0.0004434325,0.0003113573,0.0005038677,0.0006538455,0.000594421,0.005898971],"category_scores_gemma":[0.0004892701,0.0002938218,0.0006430353,0.001093169,0.0001588254,0.0006666312,0.0003379693,0.0005744688,0.00226158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789452,"about_ca_system_score_gemma":0.001704742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07702065,"about_ca_topic_score_gemma":0.07350007,"domain_scores_codex":[0.9998763,0.00003657219,0.00000461336,0.00001874767,0.00003082898,0.00003287457],"domain_scores_gemma":[0.9999163,0.000007559818,0.00000832221,0.000006025316,0.00004077997,0.0000209711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002327486,0.0004038413,0.04720666,0.001111587,0.0008529893,0.0008769105,0.0001181099,0.5331344,0.00295016,0.01395823,0.362663,0.03439659],"study_design_scores_gemma":[0.0036278,0.001069027,0.2168839,0.0003628197,0.0009521908,0.0009953488,0.0006207826,0.3538592,0.008604169,0.01263447,0.4001252,0.0002652477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3539504,0.002079482,0.007203697,0.00245303,0.001351197,0.0005178882,0.5531247,0.001387018,0.07793261],"genre_scores_gemma":[0.6545846,0.002119886,0.01147399,0.0007584349,0.00009600018,0.0009205683,0.3176606,0.0002192775,0.01216675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07702065,"threshold_uncertainty_score":0.1531447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03353130243189242,"score_gpt":0.3105895228010995,"score_spread":0.277058220369207,"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."}}