{"id":"W7053234864","doi":"","title":"Texture analysis features in prediction of HCC grade at explant","year":2019,"lang":"en","type":"article","venue":"Istanbul Science University (Istanbul Bilim University)","topic":"Electrical and Electromagnetic Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Texture (cosmology); Pattern recognition (psychology); Feature (linguistics); Image processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003252225,0.0001826953,0.0003563909,0.001654708,0.0003168248,0.00003222856,0.0008762872,0.00008044061,0.0006899998],"category_scores_gemma":[0.00001014365,0.0001900043,0.0002077597,0.008251969,0.0005570926,0.00045874,0.0002844359,0.0003119803,0.00002302552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007783185,"about_ca_system_score_gemma":0.0003245268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431997,"about_ca_topic_score_gemma":0.0002862219,"domain_scores_codex":[0.9978189,0.0001051291,0.0001624631,0.0006552205,0.000648791,0.000609462],"domain_scores_gemma":[0.9989006,0.0001143602,0.0001257045,0.0004408241,0.0001950922,0.0002234042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007538117,0.0007124529,0.7565722,0.00005338206,0.0003128782,0.00009202489,0.002726691,0.002299006,0.1370908,0.09684233,0.0009467507,0.001597635],"study_design_scores_gemma":[0.008877009,0.002537934,0.7899689,0.0001665681,0.001146662,0.00001152956,0.0423175,0.01728954,0.03984164,0.002493405,0.0933024,0.002046924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398734,0.0000226613,0.0004678367,0.0001321104,0.00004478037,0.0002538367,0.000128634,0.00002764411,0.05904911],"genre_scores_gemma":[0.9587214,0.00002169904,0.0001184016,0.000005998506,0.00001437082,9.046692e-8,0.00003136773,0.000005036089,0.04108164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09724912,"threshold_uncertainty_score":0.774815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005237330143242499,"score_gpt":0.193448401532452,"score_spread":0.1882110713892095,"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."}}