{"id":"W2961037218","doi":"10.1016/j.clon.2019.06.017","title":"Medical Oncology Workload in Europe: One Continent, Several Worlds","year":2019,"lang":"en","type":"article","venue":"Clinical Oncology","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Javna Agencija za Raziskovalno Dejavnost RS","keywords":"Medicine; Workload; Oncology; MEDLINE; Internal medicine; Management","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":[0.001463666,0.0002428883,0.0002305731,0.001112203,0.001146683,0.002132508,0.0005099723,0.001031443,0.003833683],"category_scores_gemma":[0.003094372,0.0001390708,0.0002798676,0.002125954,0.0006731781,0.001622035,0.002213354,0.0005943763,0.0004536603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002352595,"about_ca_system_score_gemma":0.003634682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244377,"about_ca_topic_score_gemma":0.01535447,"domain_scores_codex":[0.9988648,0.0004055269,0.00009220243,0.00008623134,0.0001610253,0.0003903231],"domain_scores_gemma":[0.9969758,0.0003524716,0.0004921918,0.00006119631,0.000390692,0.00172772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003812528,0.0002663967,0.7327526,0.0003961424,0.0001653778,0.001749212,0.007349199,0.001268166,0.0007356026,0.009708624,0.07360199,0.1716254],"study_design_scores_gemma":[0.0000227606,0.0001247342,0.8842085,0.0003974438,0.00003222657,0.001252359,0.02834763,0.0004865194,0.000203685,0.001535382,0.08335526,0.00003347407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8715516,0.01385982,0.0004745677,0.08051612,0.001194512,0.00003291653,0.001675698,0.00005459067,0.03064019],"genre_scores_gemma":[0.9784308,0.006456808,0.0004876028,0.008812067,0.0006709288,0.00002823508,0.0007462624,0.00002950627,0.004337822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01244377,"threshold_uncertainty_score":0.02474272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06188032672882034,"score_gpt":0.4992641182305326,"score_spread":0.4373837915017122,"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."}}