{"id":"W6982382540","doi":"","title":"Improving precipitation estimates from dual-wavelength radars","year":2003,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Radar; Climate change; Process (computing)","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":[0.001163453,0.0004832485,0.0005682608,0.002433912,0.0003625151,0.001503019,0.0007868722,0.0006478547,0.006439307],"category_scores_gemma":[0.005418051,0.0004277478,0.0004316221,0.002255678,0.0001440843,0.001463832,0.0009026337,0.0007904051,0.006655394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002708562,"about_ca_system_score_gemma":0.000662246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01192336,"about_ca_topic_score_gemma":0.01985995,"domain_scores_codex":[0.9994116,0.0001202182,0.00004386815,0.0001658806,0.0001740743,0.00008441497],"domain_scores_gemma":[0.9980388,0.0003623306,0.0002111518,0.0002431861,0.001056913,0.00008766547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003540054,0.0002107138,0.1626492,0.0002930741,0.0002151698,0.0001451943,0.000372814,0.03120801,0.05001503,0.001008858,0.01543169,0.7380962],"study_design_scores_gemma":[0.0002191031,0.0001803681,0.4388713,0.0002140603,0.0002774978,0.0003050702,0.0007367061,0.490809,0.02749177,0.002544571,0.03819307,0.0001576074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4675843,0.00149233,0.4730997,0.001206069,0.0007154305,0.0002450333,0.01197737,0.007786502,0.03589321],"genre_scores_gemma":[0.625243,0.0007152274,0.3577311,0.0001506388,0.0002703003,0.00008391141,0.007224823,0.0004654516,0.008115514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01192336,"threshold_uncertainty_score":0.02370787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03165383026396534,"score_gpt":0.3136589776685158,"score_spread":0.2820051474045505,"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."}}