{"id":"W4323670147","doi":"10.1016/j.heliyon.2023.e14264","title":"Establishing an effective clinical data collecting tool for optimal evaluation of native and allograft renal biopsies","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University; Health Canada; University Health Network","funders":"","keywords":"Medicine; Medical diagnosis; Health care; Kidney; Pathology; Medical physics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006498923,0.00009203936,0.0001764021,0.0001615218,0.0001762444,0.0001401572,0.0004693367,0.00008106953,0.000001896323],"category_scores_gemma":[0.002670277,0.00009104834,0.00003156549,0.0006915212,0.00006789307,0.001364786,0.0004401399,0.0001241304,0.000001375067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007353567,"about_ca_system_score_gemma":0.0001296162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002215023,"about_ca_topic_score_gemma":0.00006548038,"domain_scores_codex":[0.9981734,0.0004016178,0.0002955759,0.0005462052,0.0004047097,0.0001784839],"domain_scores_gemma":[0.9973157,0.001576034,0.0001840655,0.00049266,0.0003918236,0.0000397182],"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":[0.0002124554,0.00009124858,0.005547217,0.0002705906,0.000131276,0.000002577742,0.005261371,0.004838789,0.007264529,0.0004252901,0.0009653489,0.9749893],"study_design_scores_gemma":[0.000944116,0.0006718185,0.03052626,0.0001413767,0.00004637341,0.00000525842,0.0002200265,0.9601409,0.006129852,0.0006264932,0.0004101704,0.0001373408],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8217582,0.0002399739,0.176085,0.0001395473,0.0006368967,0.0008959258,0.00003434903,0.0001523606,0.00005775067],"genre_scores_gemma":[0.9431701,0.0001442823,0.05603105,0.00004460167,0.0003206511,0.0001950251,0.00005080523,0.00001649387,0.00002697401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.974852,"threshold_uncertainty_score":0.3712843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1691791353720834,"score_gpt":0.4341131860100545,"score_spread":0.2649340506379711,"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."}}