{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003121944,0.0004015733,0.0002146013,0.0003868477,0.001540985,0.0009268368,0.0005013879,0.0002694255,0.008630541],"category_scores_gemma":[0.0004858176,0.0002096511,0.0001258475,0.0006844887,0.0002671095,0.0004265367,0.000308498,0.0002455174,0.001274447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004569414,"about_ca_system_score_gemma":0.006337745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7927456,"about_ca_topic_score_gemma":0.9051791,"domain_scores_codex":[0.9997005,0.00003930565,0.000004696468,0.00003851418,0.0001095897,0.0001073596],"domain_scores_gemma":[0.9993999,0.0000369858,0.00001762038,0.00002111217,0.0004046758,0.0001196056],"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":[0.002244615,0.0003520566,0.1293114,0.000344859,0.0001151772,0.001009007,0.001450797,0.1889573,0.06983687,0.006393517,0.1502214,0.4497629],"study_design_scores_gemma":[0.0009244861,0.001589418,0.2349927,0.0001200937,0.0001724921,0.0005433281,0.002872803,0.49863,0.0366721,0.001169544,0.2221425,0.0001706073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7770779,0.0004860211,0.06715501,0.0006574325,0.0001243617,0.000941299,0.007579696,0.008013871,0.1379646],"genre_scores_gemma":[0.951912,0.0001416948,0.0182797,0.00009227468,0.00001741783,0.0001229537,0.003028075,0.0001929083,0.02621318],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2072544,"threshold_uncertainty_score":0.4169499,"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."}}