{"id":"W4229447036","doi":"10.3390/curroncol29050279","title":"Megaprosthesis for Metastatic Bone Disease—A Comparative Analysis","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Management of metastatic bone disease","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Disease; Bioinformatics; Computational biology; Pathology; Biology","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":[0.002095415,0.0002799124,0.0005590485,0.001514468,0.000209973,0.0005837006,0.000394725,0.0003834237,0.00233916],"category_scores_gemma":[0.004311917,0.0001468824,0.001718357,0.00116012,0.0002208956,0.0003334653,0.0004872904,0.000240914,0.0002032104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004671303,"about_ca_system_score_gemma":0.0003841232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103506,"about_ca_topic_score_gemma":0.001812521,"domain_scores_codex":[0.9987659,0.0004674815,0.0001592257,0.0002274307,0.000266902,0.0001130467],"domain_scores_gemma":[0.9967102,0.001368985,0.001119319,0.0002781944,0.0002844355,0.0002388403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006921863,0.0002731206,0.9766272,0.0003359309,0.003592469,0.0004111175,0.0001536327,0.000247034,0.0006325373,0.0001912382,0.000151162,0.01046261],"study_design_scores_gemma":[0.0003017485,0.005192479,0.9874663,0.00009348231,0.002559849,0.002179391,0.0004250785,0.0004969803,0.00033961,0.0001160673,0.000812061,0.00001692524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972388,0.002005454,0.0001764662,0.00001408753,0.000007275147,0.00001841117,0.0002206316,0.000001322855,0.0003176589],"genre_scores_gemma":[0.9988924,0.0005496696,0.00009619068,0.000012292,0.00001824257,0.00001226878,0.0003687972,0.000001475418,0.00004866253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00233916,"threshold_uncertainty_score":0.01108176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2181850726553072,"score_gpt":0.4621891904056207,"score_spread":0.2440041177503135,"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."}}