{"id":"W4399648285","doi":"10.58532/v3bict4p2ch2","title":"A REVIEW ON DIFFERENT MACHINE LEARNING ALGORITHMS TO BREAST CANCER RISK PREDICTION","year":2023,"lang":"en","type":"review","venue":"","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Machine learning; Cancer; Algorithm; Medicine; Cancer recurrence; Disease; Artificial intelligence; Variety (cybernetics); Quarter (Canadian coin); Oncology; Computer science; Internal medicine; Geography","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":[0.001171412,0.001224184,0.001335684,0.003118189,0.00029897,0.00110698,0.001454351,0.001215158,0.003907746],"category_scores_gemma":[0.003855787,0.0004818924,0.001110564,0.005701056,0.0005204984,0.001595419,0.0006275776,0.001897672,0.00255158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006249046,"about_ca_system_score_gemma":0.001275504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002122263,"about_ca_topic_score_gemma":0.001818629,"domain_scores_codex":[0.9994619,0.0001476897,0.00007592266,0.0001148032,0.0001659612,0.00003366141],"domain_scores_gemma":[0.9980945,0.001337667,0.00009608947,0.00005509562,0.0003740197,0.00004262289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006370599,0.0001053117,0.0005720868,0.009712472,0.0002099506,0.0001082344,0.00004771309,0.002760628,0.0005255988,0.004386271,0.03569516,0.9458128],"study_design_scores_gemma":[0.00003454494,0.000261217,0.002927182,0.01036642,0.0005518837,0.001330016,0.00008929038,0.006181612,0.001308121,0.01284021,0.9640095,0.0001000483],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003350902,0.990338,0.005698392,0.0006104949,0.0005793617,0.00001822183,0.00007007641,0.00005436155,0.002296051],"genre_scores_gemma":[0.002350857,0.9907517,0.004554038,0.0004711867,0.0007577128,0.00002774568,0.000170676,0.00001448607,0.0009015594],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003907746,"threshold_uncertainty_score":0.01307267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05489737814039199,"score_gpt":0.3437594560034655,"score_spread":0.2888620778630736,"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."}}