{"id":"W3016398405","doi":"","title":"Evaluation and Comparison of Historical Gridded Data Sets of Precipitation for Canada","year":2013,"lang":"en","type":"article","venue":"AGUFM","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Precipitation; Climatology; Geology; Meteorology; Geography","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":[0.003136138,0.0007140702,0.0004822129,0.002271626,0.001289843,0.001464665,0.001730793,0.0006929606,0.00105092],"category_scores_gemma":[0.00944614,0.0004374314,0.0006581813,0.004118661,0.0005901598,0.001043371,0.0008363827,0.0004660024,0.0002513871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01141381,"about_ca_system_score_gemma":0.008122937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9221118,"about_ca_topic_score_gemma":0.9181589,"domain_scores_codex":[0.9988581,0.0002060286,0.0001051493,0.0002593589,0.0004427338,0.0001286637],"domain_scores_gemma":[0.9926602,0.001512674,0.0004662698,0.0008032533,0.004195906,0.0003617575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002302193,0.001205386,0.4906889,0.0004531245,0.001050766,0.0003426833,0.0009049941,0.3462082,0.003915656,0.002217732,0.01456099,0.1361494],"study_design_scores_gemma":[0.0005012804,0.0001714334,0.6062443,0.0001016153,0.0002934519,0.0001129059,0.0008468889,0.3741182,0.004590252,0.0004892915,0.01241042,0.0001199806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661744,0.0002995568,0.00202415,0.0002667209,0.00004251436,0.00009419871,0.02816188,0.0005803378,0.002356276],"genre_scores_gemma":[0.948543,0.0001931351,0.006745718,0.0000504666,0.0000146816,0.00007066579,0.04358857,0.0001015548,0.0006922756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07788819,"threshold_uncertainty_score":0.1566938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044067304370769,"score_gpt":0.325921015487481,"score_spread":0.221514285050404,"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."}}