{"id":"W3168944360","doi":"10.21203/rs.3.rs-422916/v1","title":"A Low Complexity STPAP Algorithm based on Alternating Polarization Sensitive Array","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"American Political Science Association","keywords":"Polarization (electrochemistry); Computer science; Algorithm; Chemistry","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":[0.0003568728,0.0006328105,0.0005757625,0.0004720483,0.0004078934,0.0008191582,0.0007820476,0.000817872,0.003066026],"category_scores_gemma":[0.00121894,0.0003463297,0.0005448054,0.0006154499,0.000395355,0.0009439052,0.0009099264,0.001145173,0.001256792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002621496,"about_ca_system_score_gemma":0.001109189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001579483,"about_ca_topic_score_gemma":0.001178252,"domain_scores_codex":[0.9994998,0.00008279768,0.00003083902,0.0001080555,0.0002316233,0.00004686012],"domain_scores_gemma":[0.9994878,0.0001538473,0.0000473024,0.00005781248,0.0002162678,0.00003705599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004175834,0.0001414186,0.001548677,0.0001636161,0.0000927631,0.0002215317,0.000178971,0.2321252,0.07802844,0.02327944,0.005342408,0.6584599],"study_design_scores_gemma":[0.00002360575,0.00006873949,0.0001791935,0.00000668303,0.000009163517,0.0001222449,0.00001389469,0.9899442,0.005719675,0.002219062,0.001682502,0.0000110322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007053361,0.00006169701,0.9911713,0.00006614244,0.00003456844,0.00002573982,0.0000192675,0.0002371301,0.001330778],"genre_scores_gemma":[0.1772764,0.0001688957,0.8171858,0.0001739385,0.0000820686,0.0001967586,0.0002486939,0.00007642518,0.004590961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003066026,"threshold_uncertainty_score":0.01025689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05778841028313743,"score_gpt":0.339878453069267,"score_spread":0.2820900427861296,"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."}}