{"id":"W2617301898","doi":"","title":"EVALUATING MICROWAVE BREAST IMAGES","year":2015,"lang":"en","type":"article","venue":"Journal of undergraduate research in Alberta","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Image quality; Microwave imaging; Artificial intelligence; Luminance; Computer science; Human visual system model; Computer vision; Metric (unit); Medical imaging; Pattern recognition (psychology); Microwave; Mathematics; Image (mathematics); Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004265444,0.0001483993,0.0003262146,0.0008338407,0.0000499166,0.0001548051,0.0003938402,0.00005698448,0.00000515087],"category_scores_gemma":[0.0004044961,0.000130546,0.0001238617,0.0007938673,0.00009762993,0.000256114,0.00007231942,0.0008769786,0.00008020767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003797113,"about_ca_system_score_gemma":0.0001835104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008228351,"about_ca_topic_score_gemma":0.00025817,"domain_scores_codex":[0.9975095,0.0003741875,0.0005777949,0.000147447,0.0008572445,0.0005338741],"domain_scores_gemma":[0.9984123,0.0004547446,0.00008730363,0.000258312,0.0004835129,0.0003038885],"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":[0.0003102069,0.0004433884,0.0202853,0.0005341001,0.0009969265,0.001011438,0.001962512,0.2069069,0.5010118,0.001390032,0.1377151,0.1274323],"study_design_scores_gemma":[0.01235069,0.001504438,0.002784217,0.004059353,0.0002918665,0.01285192,0.002418535,0.531998,0.09750692,0.3186843,0.01310096,0.002448761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8263271,0.004172469,0.005666784,0.1450659,0.001016987,0.0002903676,0.000008858296,0.00007829609,0.01737318],"genre_scores_gemma":[0.9962324,0.000231795,0.002627556,0.00001684096,0.000190827,0.000002157753,0.000001659318,0.0000368777,0.0006598814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4035048,"threshold_uncertainty_score":0.532351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085908332586848,"score_gpt":0.3897357794862217,"score_spread":0.2811449462275369,"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."}}