{"id":"W3019739193","doi":"","title":"Real-time comparisons of VPR-corrected daily rainfall estimates with a gauge mesonet","year":2005,"lang":"en","type":"article","venue":"","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Environmental science; Rain gauge; Meteorology; Gauge (firearms); Geography; Precipitation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001627565,0.0002699549,0.0004228149,0.001618977,0.000486108,0.0007343717,0.000627726,0.0005623504,0.0009781086],"category_scores_gemma":[0.00314513,0.0002184665,0.0002474593,0.001729322,0.0002137037,0.0007681341,0.0004533207,0.000422436,0.0004742708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005066666,"about_ca_system_score_gemma":0.00048603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009590782,"about_ca_topic_score_gemma":0.01749346,"domain_scores_codex":[0.9990662,0.0002254281,0.00005608465,0.0002165369,0.0003498979,0.0000859265],"domain_scores_gemma":[0.9979823,0.0003309368,0.000185235,0.0002271157,0.001133592,0.0001408844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006832749,0.0008789561,0.5520308,0.000258369,0.0005050853,0.0005334922,0.001297827,0.05001057,0.1530477,0.00264964,0.008653229,0.2233016],"study_design_scores_gemma":[0.0004167231,0.0008877545,0.7460214,0.0000309459,0.0001881865,0.0003796471,0.0004425253,0.1842667,0.0558515,0.0008709973,0.01050605,0.0001374826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844284,0.00009574119,0.009067563,0.00006175718,0.0001032741,0.00003957442,0.002325825,0.0008373164,0.003040604],"genre_scores_gemma":[0.9901944,0.000027646,0.006879339,0.00001988666,0.00001621237,0.00002416433,0.001849455,0.00005822706,0.0009306304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009590782,"threshold_uncertainty_score":0.01906991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637999334672709,"score_gpt":0.2212391547395242,"score_spread":0.2048591613927971,"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."}}