{"id":"W4412163863","doi":"10.1158/1557-3265.aimachine-ia03","title":"Abstract IA03: Accelerating oncology drug discovery with the power of microscopy & AI","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Drug discovery; Drug; Internal medicine; Oncology; Pharmacology; Bioinformatics; Biology","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":[0.005143882,0.001059466,0.001113345,0.003433981,0.0007183823,0.004798581,0.002511444,0.001570178,0.07519286],"category_scores_gemma":[0.007093389,0.0005285267,0.0007368082,0.002407778,0.0007639927,0.002221903,0.002627881,0.003094258,0.03659229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003905578,"about_ca_system_score_gemma":0.003403813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00660998,"about_ca_topic_score_gemma":0.006764744,"domain_scores_codex":[0.9969939,0.0007318874,0.0001171529,0.0002886892,0.001660125,0.0002082017],"domain_scores_gemma":[0.9931796,0.001171955,0.0004060374,0.0008872234,0.00296508,0.001390152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000194842,0.00009685955,0.0005877516,0.0002717361,0.00003142495,0.00005145933,0.00002585873,0.0007664125,0.009449281,0.007526209,0.7318857,0.2491124],"study_design_scores_gemma":[0.0002308781,0.0002959351,0.00271221,0.0001808295,0.00006134844,0.0002998747,0.00004223902,0.01639133,0.02254045,0.01140726,0.9457635,0.00007421293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01439273,0.03543671,0.2124626,0.08679335,0.01251999,0.00180519,0.055102,0.147125,0.4343624],"genre_scores_gemma":[0.1410024,0.02500807,0.4666513,0.02675461,0.007912247,0.001614322,0.06756506,0.007205578,0.2562864],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07519286,"threshold_uncertainty_score":0.2515452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0785102391528594,"score_gpt":0.5303171162217778,"score_spread":0.4518068770689184,"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."}}