{"id":"W2885504463","doi":"","title":"Dancing the Radar Sensitivity Limbo: How Low Can We Go?","year":2017,"lang":"en","type":"article","venue":"38th Conference on Radar Meteorology","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Sensitivity (control systems); Radar; Computer science; Remote sensing; Geography; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01030794,0.001299366,0.001560962,0.001773436,0.003651701,0.01235777,0.003159324,0.006123901,0.02277013],"category_scores_gemma":[0.07447327,0.0004845906,0.0007355917,0.001131818,0.008137977,0.01443721,0.005186481,0.01295751,0.01203165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003842055,"about_ca_system_score_gemma":0.005905823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02278118,"about_ca_topic_score_gemma":0.02346519,"domain_scores_codex":[0.9919512,0.004056169,0.0002649717,0.0006905345,0.002188502,0.0008485849],"domain_scores_gemma":[0.9733761,0.01191606,0.001799758,0.00134144,0.007707171,0.003859421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005885674,0.0005086959,0.02605386,0.000825845,0.0002595783,0.0003124189,0.002338547,0.002314936,0.001793793,0.1006429,0.2758261,0.5885347],"study_design_scores_gemma":[0.0001327377,0.0007514633,0.01800521,0.004742779,0.0003755459,0.0007312991,0.01028989,0.006555114,0.003434426,0.5050365,0.4495576,0.0003872792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0227571,0.05289846,0.03527678,0.7905107,0.008871287,0.00006103217,0.0007666473,0.001012028,0.087846],"genre_scores_gemma":[0.6916161,0.03450999,0.03305972,0.1852689,0.006028722,0.0002645179,0.000831764,0.001314305,0.04710589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02278118,"threshold_uncertainty_score":0.07617372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10268119904502,"score_gpt":0.3503592751438993,"score_spread":0.2476780760988793,"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."}}