{"id":"W7018849733","doi":"","title":"Evaluating Global Precipitation Measurement Mission in the High Latitudes: A Case Study in Canada","year":2018,"lang":"en","type":"other","venue":"CSUN ScholarWorks (California State University, Northridge)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Exclosure; Diafiltration; Windage; Filter (signal processing); Limiting","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":[0.00165614,0.0006213372,0.0004495999,0.001511425,0.001484174,0.001476399,0.0009410398,0.0006109826,0.0004816428],"category_scores_gemma":[0.004429953,0.0001883465,0.0004397304,0.004979422,0.0007122515,0.0006035109,0.0006950396,0.0004595691,0.00008697375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02195993,"about_ca_system_score_gemma":0.01461668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848852,"about_ca_topic_score_gemma":0.9862378,"domain_scores_codex":[0.9985977,0.0002351087,0.00006490367,0.000147591,0.0006425274,0.000312287],"domain_scores_gemma":[0.9968854,0.0006131328,0.0002004788,0.000115808,0.001834162,0.0003511078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000877982,0.001016981,0.6744861,0.0005960432,0.0003580179,0.006997053,0.002119114,0.193216,0.006505549,0.004762704,0.01141806,0.09764641],"study_design_scores_gemma":[0.0001457938,0.0003450173,0.7030079,0.0001117022,0.000215979,0.000482824,0.00864172,0.2707886,0.004846132,0.0005456351,0.01075237,0.0001162605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903967,0.0004725197,0.001182593,0.0003499546,0.00001281742,0.0001869787,0.001985001,0.00007296029,0.00534041],"genre_scores_gemma":[0.9917799,0.0004127415,0.003820211,0.00006922734,0.000007931486,0.00003384338,0.002233366,0.00002210268,0.001620667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02195993,"threshold_uncertainty_score":0.1593312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05772593787324368,"score_gpt":0.3017467180758918,"score_spread":0.2440207802026481,"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."}}