{"id":"W2100440552","doi":"10.1109/aps.1996.549794","title":"Optimum design of parallel dipole antenna array","year":2002,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Dipole antenna; Dipole; Antenna (radio); Coupling (piping); Moment (physics); Amplitude; Computer science; Antenna array; Collinear antenna array; Electronic engineering; Transformation (genetics); Topology (electrical circuits); Physics; Telecommunications; Electrical engineering; Engineering; Coaxial antenna; Optics","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":[0.0004751239,0.0007276221,0.000873381,0.0006513445,0.0002589204,0.000691562,0.0005895787,0.0007413882,0.002793085],"category_scores_gemma":[0.001541642,0.0005525648,0.0005015394,0.0007886885,0.0003560194,0.0007199113,0.0006472354,0.0004276836,0.001181895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004380337,"about_ca_system_score_gemma":0.0005216815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003785467,"about_ca_topic_score_gemma":0.0004069888,"domain_scores_codex":[0.9994323,0.000162824,0.00002778885,0.000111632,0.0002041906,0.00006128792],"domain_scores_gemma":[0.9994843,0.000135353,0.0001089494,0.00006214265,0.0001802338,0.00002897247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002973457,0.00004586962,0.0009091444,0.0002994271,0.00007932735,0.0001336275,0.00009781878,0.7703145,0.0570032,0.02686966,0.003464716,0.1404854],"study_design_scores_gemma":[0.0000508613,0.0001575391,0.0004083441,0.00001895689,0.00003427998,0.0002106456,0.00003492354,0.9642838,0.01520723,0.01071317,0.008848114,0.00003205375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009655757,0.0001668215,0.9830804,0.00007044449,0.00003233604,0.00002405246,0.00004651161,0.0002117914,0.006711887],"genre_scores_gemma":[0.357927,0.0006509481,0.6323968,0.0001019073,0.0001018728,0.0002939428,0.000244246,0.0001535853,0.008129634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002793085,"threshold_uncertainty_score":0.009343743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469316353556352,"score_gpt":0.1908882053516322,"score_spread":0.1661950418160687,"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."}}