{"id":"W1986248915","doi":"10.3747/co.v18i1.861","title":"Breaking New Ground in a New Year","year":2011,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01364568,0.001413267,0.001458433,0.001687516,0.008203096,0.0179111,0.002198582,0.009942055,0.07515357],"category_scores_gemma":[0.02330258,0.0005596346,0.001361619,0.001393751,0.005375973,0.02075868,0.01088448,0.01976142,0.02664243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003740412,"about_ca_system_score_gemma":0.01272316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003736799,"about_ca_topic_score_gemma":0.009515594,"domain_scores_codex":[0.9932701,0.001166629,0.0003856934,0.0007126319,0.002293862,0.00217103],"domain_scores_gemma":[0.9785414,0.002304336,0.0006774832,0.001368302,0.004206114,0.01290232],"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":[0.00009990907,0.0001073836,0.0003616761,0.0001440553,0.00001768505,0.0002371807,0.0005006623,0.00006482942,0.0004187633,0.02501226,0.9158368,0.05719869],"study_design_scores_gemma":[0.0000117988,0.00005111914,0.0002643739,0.00015047,0.00000465234,0.0001157273,0.0009346694,0.00003648539,0.0001053721,0.008611375,0.9896974,0.00001643936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.003033787,0.03107349,0.004658374,0.6186783,0.2885125,0.00008011591,0.0006502885,0.000934288,0.05237888],"genre_scores_gemma":[0.04870541,0.03338729,0.0125545,0.5286556,0.09118272,0.0002623923,0.002211535,0.001262377,0.2817781],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.07515357,"threshold_uncertainty_score":0.2514137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054757449262464,"score_gpt":0.3566956565583906,"score_spread":0.2512199116321442,"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."}}