{"id":"W4243096557","doi":"10.4095/301218","title":"April Mean Total Precipitation","year":2010,"lang":"en","type":"report","venue":"","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Environmental science; Geography; Meteorology","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":[0.0001368478,0.0005044242,0.0002114898,0.001561116,0.0004614615,0.0006801209,0.0003840612,0.0001322836,0.02670754],"category_scores_gemma":[0.0004594725,0.00009461876,0.0002185848,0.002485461,0.00008292718,0.0002943408,0.0003313914,0.0004578745,0.008137538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038231,"about_ca_system_score_gemma":0.002082395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1925933,"about_ca_topic_score_gemma":0.2500843,"domain_scores_codex":[0.9998192,0.000009121388,0.00001051849,0.00003115131,0.00008988108,0.0000401847],"domain_scores_gemma":[0.999599,0.0000125447,0.00003635461,0.00002184623,0.0002720583,0.00005819964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001548319,0.00005187437,0.04444749,0.000271268,0.00005349404,0.0001108691,0.0001542549,0.0007011346,0.0008112969,0.0005862866,0.9161111,0.03654631],"study_design_scores_gemma":[0.00003458065,0.00003728168,0.4552596,0.00007716019,0.00002777174,0.0001584647,0.00033489,0.0004588526,0.0005550781,0.0001683,0.5428666,0.00002147915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04620877,0.0006562434,0.0006080134,0.0007873783,0.0004726225,0.0001334228,0.8137745,0.001353582,0.1360054],"genre_scores_gemma":[0.1507628,0.001894383,0.002464919,0.0003234822,0.0002375807,0.0002396549,0.7591719,0.0003218534,0.08458349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1925933,"threshold_uncertainty_score":0.3829446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06696402477385355,"score_gpt":0.2849810306635797,"score_spread":0.2180170058897262,"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."}}