{"id":"W3028510827","doi":"10.17577/ijertv9is050444","title":"Breast Cancer Prediction using ML Techniques","year":2020,"lang":"en","type":"article","venue":"International Journal of Engineering Research and","topic":"AI in cancer detection","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Breast cancer; Cancer; Medicine; Internal medicine","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":[0.0004922278,0.0007032673,0.0007117033,0.002180942,0.00021244,0.0008821145,0.0007154819,0.0008511535,0.003951048],"category_scores_gemma":[0.002196042,0.0002754211,0.0009465461,0.0009184154,0.0001727176,0.0007300826,0.0006424859,0.0007360213,0.003016181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003747213,"about_ca_system_score_gemma":0.000432991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003650094,"about_ca_topic_score_gemma":0.003384972,"domain_scores_codex":[0.9997283,0.00004395812,0.00001874836,0.00007876496,0.00007613585,0.00005411722],"domain_scores_gemma":[0.9994761,0.0002474359,0.00005671991,0.0000432087,0.0001436086,0.00003297965],"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":[0.0007624823,0.0002804572,0.0393783,0.0002426372,0.0001683311,0.0006389945,0.00005577246,0.1571477,0.01454419,0.001891323,0.01506689,0.769823],"study_design_scores_gemma":[0.00001995295,0.0001019252,0.006120921,0.00003774525,0.00006673386,0.000325622,0.00003723708,0.981236,0.005587049,0.003001222,0.003447427,0.00001813849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1604684,0.007237959,0.8028058,0.002657307,0.0005584796,0.0002179228,0.004859196,0.009303894,0.01189105],"genre_scores_gemma":[0.8852715,0.002350723,0.09738491,0.0005929195,0.0004784558,0.000146751,0.004418692,0.0001872103,0.00916876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003951048,"threshold_uncertainty_score":0.01321757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05525081393954889,"score_gpt":0.3581335208513273,"score_spread":0.3028827069117784,"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."}}