{"id":"W4296886862","doi":"10.1177/117693510600200030","title":"Applications of Machine Learning in Cancer Prediction and Prognosis","year":2006,"lang":"en","type":"article","venue":"Cancer Informatics","topic":"AI in cancer detection","field":"Computer Science","cited_by":1099,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Genome Prairie; Genome Canada","keywords":"Machine learning; Artificial intelligence; Computer science; Artificial neural network; Probabilistic logic","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004522759,0.0008196122,0.001202562,0.00348501,0.0003923936,0.002275539,0.001010602,0.001788428,0.002851136],"category_scores_gemma":[0.01364723,0.0003228511,0.0009293761,0.004006823,0.001245174,0.001584528,0.001215863,0.0024703,0.001616106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116499,"about_ca_system_score_gemma":0.001421733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001786327,"about_ca_topic_score_gemma":0.001256366,"domain_scores_codex":[0.9966978,0.001694498,0.0002344319,0.0003604158,0.0008953937,0.0001174791],"domain_scores_gemma":[0.9921009,0.006004331,0.0005539465,0.0002692107,0.000914671,0.0001569328],"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":[0.0001337293,0.0001106388,0.01451974,0.004339722,0.0003634559,0.0003813974,0.0003096664,0.03219807,0.001318461,0.05364821,0.02713997,0.865537],"study_design_scores_gemma":[0.00006118938,0.0004710773,0.01929652,0.007726393,0.000511724,0.002248697,0.0006697709,0.1306204,0.005796704,0.389502,0.442825,0.000270479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00881499,0.7168072,0.2171775,0.02527907,0.00248788,0.0002050326,0.0009260073,0.0007562026,0.02754623],"genre_scores_gemma":[0.2427551,0.6291946,0.1106824,0.004842138,0.006390242,0.0002865561,0.001163605,0.000110434,0.004575061],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004522759,"threshold_uncertainty_score":0.02391893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082296431629606,"score_gpt":0.2522787782653981,"score_spread":0.2414558139491021,"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."}}