{"id":"W2801457638","doi":"","title":"A VHF Windprofiler Network in Ontario and Quebec, Canada: Design Details and Capabilities","year":2007,"lang":"en","type":"article","venue":"33rd Conference on Radar Meteorology (6–10 August 2007)","topic":"Power Systems and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Telecommunications; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006208379,0.0003396421,0.0005216363,0.0001721772,0.0000775407,0.00004104129,0.000203084,0.0003650209,0.0006398567],"category_scores_gemma":[0.00006529446,0.0003237773,0.00002285967,0.0001556405,0.000244962,0.0001170407,0.00006001664,0.0005543584,0.000007182702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003953343,"about_ca_system_score_gemma":0.0004994826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7697102,"about_ca_topic_score_gemma":0.9970054,"domain_scores_codex":[0.9981582,0.00007533201,0.0004253708,0.0003954773,0.0001659523,0.0007796519],"domain_scores_gemma":[0.9991223,0.0003000935,0.0000622571,0.0003306959,0.00005206297,0.0001326209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001854222,0.0002739222,0.3812504,0.0006309695,0.001431682,0.00291595,0.005229432,0.006057698,0.005782707,0.123319,0.3139934,0.1572607],"study_design_scores_gemma":[0.003266835,0.0007914109,0.7108284,0.0002777489,0.0001055517,0.0002181806,0.002316143,0.00207972,0.003298969,0.01130143,0.2632088,0.00230671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731497,0.002555776,0.003812417,0.0003085092,0.000841025,0.0005484323,0.000008652373,0.0003255806,0.01844997],"genre_scores_gemma":[0.9951338,0.00009698822,0.001891086,0.0001556976,0.00004932924,0.00003502473,0.000004758886,0.00003107084,0.002602212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3295781,"threshold_uncertainty_score":0.9999214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846731876997364,"score_gpt":0.1964545003753718,"score_spread":0.1779871816053981,"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."}}