{"id":"W4414350165","doi":"10.1158/1538-7445.ovarian25-a016","title":"Abstract A016: Empowering ovarian cancer patients using CancerStop: A webapp for integrating survivorship data, clinical trials, and more features for improved outcomes","year":2025,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"3v Geomatics (Canada)","funders":"","keywords":"Survivorship curve; Personalized medicine; Scalability; Clinical trial; Precision medicine; JavaScript; Documentation; Cancer","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":[0.001362823,0.001174252,0.0005155324,0.0008893768,0.0003881705,0.002034242,0.001043705,0.001469532,0.0721104],"category_scores_gemma":[0.005108836,0.0004287719,0.0008790948,0.0006013334,0.0002050245,0.002179877,0.002244476,0.00118873,0.02312263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003853617,"about_ca_system_score_gemma":0.0005517353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312446,"about_ca_topic_score_gemma":0.002339429,"domain_scores_codex":[0.9995827,0.0001199374,0.00005290558,0.00006785402,0.0001345896,0.0000421224],"domain_scores_gemma":[0.9956273,0.0024677,0.0002509852,0.0002944906,0.0004479846,0.0009115587],"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":[0.0008652942,0.000420928,0.006754054,0.001086361,0.00008668309,0.001094635,0.0007354618,0.0009874114,0.004283205,0.00124668,0.8204033,0.1620359],"study_design_scores_gemma":[0.000925042,0.0008674209,0.0214744,0.001085265,0.0002857168,0.00300568,0.0008648834,0.01957544,0.006559727,0.0106782,0.9342978,0.0003805635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.06147304,0.004511157,0.1509307,0.01782357,0.002891965,0.002329971,0.1022594,0.5559821,0.1017982],"genre_scores_gemma":[0.3487455,0.009315057,0.2622314,0.03130111,0.005220499,0.003417182,0.1157442,0.04497464,0.1790504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0721104,"threshold_uncertainty_score":0.2412333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3622858765974937,"score_gpt":0.6044427043004006,"score_spread":0.2421568277029069,"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."}}