{"id":"W4290975632","doi":"10.1158/1078-0432.ccr-22-1623","title":"Taking the Road Less Traveled: Following Molecular Trail Markers","year":2022,"lang":"en","type":"letter","venue":"Clinical Cancer Research","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Scope (computer science); Medicine; Targeted therapy; Cancer; 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":[0.001728979,0.0004897955,0.0009307625,0.0005070768,0.00214596,0.002320179,0.0007920676,0.01430252,0.00488382],"category_scores_gemma":[0.01447227,0.0003176335,0.0008384491,0.0004692265,0.001689986,0.003950488,0.0008486204,0.02148026,0.005514808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002642848,"about_ca_system_score_gemma":0.002233392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002969996,"about_ca_topic_score_gemma":0.005852954,"domain_scores_codex":[0.9982868,0.0006422435,0.0001781775,0.0001638098,0.0004974942,0.0002315358],"domain_scores_gemma":[0.9962566,0.001761712,0.0002669728,0.0001930065,0.0007403686,0.0007813381],"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":[0.0001131658,0.00006617473,0.001463567,0.00009096614,0.00002181551,0.004860718,0.0001295415,0.0001314149,0.0005727583,0.003384027,0.9289098,0.06025605],"study_design_scores_gemma":[0.0002195601,0.000276188,0.002463561,0.0005356661,0.00005359446,0.01860948,0.0008248416,0.0007667786,0.0005813279,0.02879882,0.9467943,0.00007591282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009246583,0.003971987,0.0003659315,0.9769521,0.01399235,0.00001652028,0.00004260752,0.00004541541,0.003688446],"genre_scores_gemma":[0.01121077,0.006202293,0.0007948328,0.9349852,0.03781592,0.00003206101,0.00006423736,0.00003585447,0.00885873],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01430252,"threshold_uncertainty_score":0.01917535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2958377884899446,"score_gpt":0.5160971397425603,"score_spread":0.2202593512526158,"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."}}