{"id":"W2803511541","doi":"","title":"Weather Radar Specific Data User Requirements for Canadian Network Design","year":2013,"lang":"en","type":"article","venue":"36th Conference on Radar Meteorology (16-20 September, 2013)","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Radar; Weather radar; Telecommunications","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":[0.00682222,0.0008903595,0.0005631722,0.002180669,0.003453289,0.003865755,0.002393367,0.001044064,0.02578131],"category_scores_gemma":[0.0312172,0.0009055216,0.0005290028,0.002363288,0.0005572155,0.002149118,0.00134318,0.001096112,0.003382351],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01577115,"about_ca_system_score_gemma":0.02706041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7004521,"about_ca_topic_score_gemma":0.8009515,"domain_scores_codex":[0.9932989,0.0008539198,0.0003907655,0.0003982001,0.003653152,0.001405018],"domain_scores_gemma":[0.9751286,0.004349325,0.0005571069,0.00213027,0.01668092,0.001153694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002060998,0.000427865,0.03150739,0.0007285236,0.0001276314,0.0008921751,0.001852435,0.2009953,0.04207529,0.101746,0.241215,0.3763714],"study_design_scores_gemma":[0.0005045488,0.0003456642,0.03024658,0.0005546989,0.0002919851,0.0009762543,0.001657472,0.5163172,0.03439032,0.02047146,0.3938006,0.0004433053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1998208,0.001631891,0.3305491,0.005868745,0.0005927572,0.003639097,0.02287635,0.01504948,0.4199719],"genre_scores_gemma":[0.7589313,0.001011429,0.1681169,0.001094529,0.0001286253,0.001189447,0.01604093,0.002317549,0.05116932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9842288,"threshold_uncertainty_score":0.602624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121064487767264,"score_gpt":0.2683805194224441,"score_spread":0.1562740706457177,"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."}}