{"id":"W4402966724","doi":"10.35784/iapgos.6141","title":"POLARIZATION-CORRELATION MAPPING OF MICROSCOPIC IMAGES OF BIOLOGICAL TISSUES OF DIFFERENT MORPHOLOGICAL STRUCTURE","year":2024,"lang":"en","type":"article","venue":"Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Research Foundation; National Research Foundation of Ukraine","keywords":"Polarization (electrochemistry); Correlation; Geometry; Chemistry; Mathematics","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":[0.0007415448,0.0003914178,0.000288901,0.001592006,0.0003307122,0.0004651392,0.0002352693,0.0002372235,0.001765755],"category_scores_gemma":[0.002562142,0.0001823457,0.0002657824,0.001440732,0.0005515579,0.0003429098,0.0003625804,0.0004368813,0.0002269931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004569579,"about_ca_system_score_gemma":0.0004255478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503666,"about_ca_topic_score_gemma":0.0009201119,"domain_scores_codex":[0.9995993,0.00009053476,0.00001129124,0.00008017891,0.0001590249,0.00005964707],"domain_scores_gemma":[0.9979941,0.0009311588,0.0002010107,0.0002652648,0.0005426366,0.00006581495],"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":[0.00095665,0.000216889,0.008934455,0.0003023845,0.0001187529,0.0002541468,0.0005005233,0.04165646,0.851949,0.003714301,0.0005796313,0.0908167],"study_design_scores_gemma":[0.0000306817,0.0003693076,0.07612672,0.00002418273,0.0000912504,0.0009829812,0.0003207944,0.283514,0.6353548,0.002042051,0.001038571,0.0001046892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8763418,0.0001510971,0.1203519,0.00006466842,0.00001589939,0.00005942021,0.0002778768,0.0004929311,0.002244403],"genre_scores_gemma":[0.9528716,0.0001354294,0.0458557,0.00001265402,0.00001000642,0.00004997765,0.0002837444,0.0001097418,0.0006710579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001765755,"threshold_uncertainty_score":0.005907059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0084869057850426,"score_gpt":0.2271068153846832,"score_spread":0.2186199095996406,"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."}}