{"id":"W3114777199","doi":"10.4095/327811","title":"Temperature and precipitation across Canada","year":2019,"lang":"en","type":"report","venue":"","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Precipitation; Climatology; Environmental science; Physical geography; Geography; Meteorology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001937106,0.0002658518,0.0003141862,0.00000216253,0.0001299543,0.0001762035,0.00015479,0.000436889,0.0007580759],"category_scores_gemma":[0.0001393487,0.00006999434,0.0000519546,0.0001601774,0.00001827163,0.00008192337,0.00009930912,0.0003023724,0.00001375944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002664227,"about_ca_system_score_gemma":0.000145522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7187039,"about_ca_topic_score_gemma":0.9892613,"domain_scores_codex":[0.9984015,0.00002665429,0.0002017528,0.0003933694,0.0006365001,0.0003402109],"domain_scores_gemma":[0.9991492,0.0001494189,0.0001576786,0.00005712367,0.0003478901,0.0001387098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000884331,0.00002314247,0.005778231,0.0001389212,0.00004059821,0.00001512418,0.0001217634,5.551128e-7,0.03446107,0.000002885811,0.9080923,0.0513166],"study_design_scores_gemma":[0.00004953844,0.00006425977,0.3146021,0.00008304157,0.0000137561,0.00006004523,0.0009742586,7.377197e-7,0.000281553,0.00000376817,0.6835416,0.0003253154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973162,0.001083289,5.512043e-9,0.002412191,0.0009929509,0.0004150335,0.0017117,0.00005589328,0.02016693],"genre_scores_gemma":[0.8730575,0.003803717,0.00001480725,0.001230793,0.002241716,0.00003048638,0.005542462,0.000003901395,0.1140746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3088239,"threshold_uncertainty_score":0.83004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0390329215341769,"score_gpt":0.2725851254583029,"score_spread":0.233552203924126,"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."}}