{"id":"W4407916116","doi":"10.3390/cancers17050778","title":"Editorial for Special Issue “Image Analysis and Machine Learning in Cancers”","year":2025,"lang":"en","type":"editorial","venue":"Cancers","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","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":[0.006663125,0.004010731,0.004351018,0.004422015,0.003232081,0.008198659,0.003758119,0.01250127,0.02588802],"category_scores_gemma":[0.02469036,0.001396823,0.003518099,0.001434808,0.00234923,0.004708978,0.0017165,0.01872061,0.0252762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00245852,"about_ca_system_score_gemma":0.002931502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312259,"about_ca_topic_score_gemma":0.004343877,"domain_scores_codex":[0.9948344,0.001035643,0.0005833125,0.0007169777,0.002539693,0.0002898798],"domain_scores_gemma":[0.9764267,0.009289215,0.001510813,0.0005693059,0.008659388,0.003544437],"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":[0.0000318255,0.000007687822,0.00001427068,0.0001228798,0.00001321589,0.00005822578,0.00000363901,0.00001558267,0.00003560832,0.0001411534,0.9967059,0.00284991],"study_design_scores_gemma":[0.0001048163,0.00004346539,0.0002458657,0.0004122501,0.00005916425,0.0003101478,0.0000219741,0.0002191759,0.0001253605,0.001268471,0.9971651,0.00002419455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002195275,0.00317123,0.0001321969,0.02736403,0.968011,0.00002259582,0.0000632981,0.00007465989,0.001138988],"genre_scores_gemma":[0.0001597823,0.002265058,0.00009081348,0.01521365,0.9766216,0.0000199089,0.00004003007,0.00003465775,0.005554407],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02588802,"threshold_uncertainty_score":0.08660406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005292104878603426,"score_gpt":0.3010226206648843,"score_spread":0.2957305157862808,"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."}}