{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014825,0.0001517525,0.0001879488,0.0003281498,0.00006764375,0.00004631363,0.0002322395,0.0002498419,0.000002653376],"category_scores_gemma":[0.00008834753,0.0001673985,0.0000318005,0.0002963954,0.0004419,0.00009093906,0.00001336409,0.000740648,0.00001153899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000526515,"about_ca_system_score_gemma":0.000009812055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005209694,"about_ca_topic_score_gemma":0.0001814315,"domain_scores_codex":[0.9991409,0.00001454407,0.0002742046,0.0002326094,0.00003942771,0.0002983729],"domain_scores_gemma":[0.9993426,0.000159348,0.0000285105,0.0003972082,0.00003312408,0.00003926879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003323992,0.00001222622,0.0003544406,0.00001606025,0.00002249923,0.000009765539,0.00007115781,0.00000191403,0.9620762,0.01316265,0.00006214411,0.02420757],"study_design_scores_gemma":[0.0003697036,0.00002431409,0.0009937639,0.00007405189,0.00002728743,0.0001602159,0.0001712134,0.01364594,0.9782309,0.005952495,0.00009906323,0.000251084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8343275,0.00009044986,0.1607433,0.003614042,0.0001598831,0.0002693812,0.00000859108,0.0002479492,0.0005389221],"genre_scores_gemma":[0.9953759,0.00005692973,0.00429886,0.0001558119,0.00002362984,0.00003811606,0.00001772122,0.00002790981,0.000005159488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1610484,"threshold_uncertainty_score":0.6826313,"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."}}