{"id":"W2093586807","doi":"10.1002/mop.25670","title":"Spectrum sensing cognitive‐wave‐radio for interference identification in wireless communications","year":2010,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Interference (communication); Electronic engineering; Phase-shift keying; Adjacent-channel interference; Electrical engineering; Telecommunications; Radio receiver design; Engineering; Channel (broadcasting); Computer science; Wireless; Transmitter; Bit error rate","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005006023,0.0003347624,0.0002011428,0.0003300259,0.0002179491,0.0005571863,0.0006190399,0.0002845255,0.00103399],"category_scores_gemma":[0.0007938827,0.0001234155,0.0001614845,0.0001786118,0.0003872068,0.0003553436,0.0002510187,0.0002284403,0.000255742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003407774,"about_ca_system_score_gemma":0.0003769824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006760709,"about_ca_topic_score_gemma":0.001035602,"domain_scores_codex":[0.9997422,0.00005869596,0.000008070082,0.00002812291,0.0001134682,0.00004943115],"domain_scores_gemma":[0.9996377,0.0001429411,0.00004500999,0.00004150863,0.0001144569,0.00001839652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001071859,0.0003877983,0.004728011,0.0003057124,0.0001069396,0.0005901234,0.0002205823,0.04231783,0.6784187,0.0304161,0.001458024,0.2399784],"study_design_scores_gemma":[0.00008820523,0.001149119,0.004456858,0.00004222128,0.0001200496,0.001053108,0.00009040104,0.4788024,0.500599,0.007103043,0.006449831,0.00004576996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.393591,0.002184723,0.5864641,0.0003257271,0.0001337567,0.0001199553,0.0000375236,0.0005155475,0.01662762],"genre_scores_gemma":[0.9706824,0.0002308337,0.02770373,0.00007771562,0.00002004524,0.00002066658,0.0000156201,0.000006346458,0.00124262],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00103399,"threshold_uncertainty_score":0.003459036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628640469489516,"score_gpt":0.2308929685215755,"score_spread":0.2146065638266803,"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."}}