{"id":"W4393082940","doi":"10.32920/21428604.v2","title":"piNET: An Automated Proliferation Index Calculator Framework for Ki67 Breast Cancer Images","year":2024,"lang":"en","type":"preprint","venue":"","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Calculator; Index (typography); Breast cancer; Proliferation index; Computer science; Cancer; Medicine; Internal medicine; Operating system; World Wide Web","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":[0.001475243,0.001024947,0.0007456462,0.002680904,0.0004535461,0.00167526,0.001648058,0.0007223705,0.006259382],"category_scores_gemma":[0.004821929,0.0005969501,0.001004919,0.001207454,0.0002769946,0.001111587,0.001219491,0.001098039,0.00298924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008928227,"about_ca_system_score_gemma":0.001223392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004833922,"about_ca_topic_score_gemma":0.007234883,"domain_scores_codex":[0.9993302,0.00007099947,0.00005121612,0.0001838999,0.0003148275,0.00004893755],"domain_scores_gemma":[0.9990355,0.0002750067,0.0001664404,0.0001492649,0.0003207785,0.00005310965],"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":[0.0005088885,0.0001278362,0.007106277,0.0004770623,0.0002765626,0.000243777,0.0001863647,0.02859192,0.048379,0.003506084,0.04752557,0.8630706],"study_design_scores_gemma":[0.00008936981,0.0002088792,0.01056239,0.00006228097,0.00008323329,0.0006030722,0.00009202653,0.8634251,0.0832426,0.005715638,0.03579177,0.0001235593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01295833,0.0003706994,0.8743091,0.0001139611,0.00007965192,0.0003268893,0.003136296,0.1070881,0.001617002],"genre_scores_gemma":[0.1060293,0.0003812408,0.8737975,0.0001998315,0.00007757141,0.0008571307,0.009862895,0.004579242,0.004215207],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006259382,"threshold_uncertainty_score":0.02093971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01842267384374385,"score_gpt":0.339350967337022,"score_spread":0.3209282934932781,"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."}}