{"id":"W4210497372","doi":"10.5272/jimab.2022281.4211","title":"INSTITUTIONALIZATION PATTERNS IN BREAST CANCER IMMUNOHISTOCHEMISTRY","year":2022,"lang":"en","type":"article","venue":"Journal of IMAB - Annual Proceeding (Scientific Papers)","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; MEDLINE; Web of science; Library science; Citation; Breast cancer; Science Citation Index; Impact factor; Citation analysis; Bibliometrics; Medicine; Family medicine; Cancer; Political science; Internal medicine; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005857053,0.0003271355,0.0005064631,0.02946449,0.0007966658,0.003711565,0.0007165697,0.0004608035,0.00490888],"category_scores_gemma":[0.02465105,0.0002432377,0.0007400478,0.03739159,0.001319616,0.002825723,0.002464381,0.0003831776,0.0006159874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302607,"about_ca_system_score_gemma":0.002666263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00186255,"about_ca_topic_score_gemma":0.002843527,"domain_scores_codex":[0.9941414,0.001463189,0.001530628,0.0007428635,0.001536936,0.000584862],"domain_scores_gemma":[0.9419733,0.01781433,0.02908377,0.00215504,0.006852673,0.002120923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000421983,0.00006954672,0.8980178,0.00299065,0.0002812557,0.0009047584,0.003952797,0.0003201522,0.002446881,0.003460424,0.001607478,0.0855263],"study_design_scores_gemma":[0.00001164039,0.0001183299,0.9684271,0.0009990651,0.0002256402,0.00247203,0.007926713,0.0003258343,0.001372261,0.001900062,0.0161889,0.00003242664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9260591,0.04678619,0.002165861,0.001970093,0.00010598,0.000167871,0.004389991,0.0001073693,0.01824765],"genre_scores_gemma":[0.9844847,0.01092349,0.001564579,0.0001400482,0.0001404749,0.00007321316,0.001755946,0.00002411844,0.0008933137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02946449,"threshold_uncertainty_score":0.0309754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008268342641236713,"score_gpt":0.2905084679245672,"score_spread":0.2822401252833305,"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."}}