{"id":"W4210646071","doi":"10.3390/curroncol12040001","title":"Looking Forward to Serving You in 2006","year":2005,"lang":"en","type":"article","venue":"Current Oncology","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","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":[0.0038347,0.001627369,0.001584414,0.001095869,0.004244089,0.007726883,0.001555628,0.008785672,0.1468257],"category_scores_gemma":[0.01137852,0.0004684761,0.001588034,0.0008171814,0.001531161,0.005911414,0.003753815,0.01102373,0.1138759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531886,"about_ca_system_score_gemma":0.005049291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00264025,"about_ca_topic_score_gemma":0.01186229,"domain_scores_codex":[0.9980415,0.0002968607,0.0001356813,0.0002226686,0.0008881908,0.0004151187],"domain_scores_gemma":[0.9865384,0.0005540276,0.0004659888,0.000272131,0.004813126,0.007356434],"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":[0.00001511572,0.00001599123,0.00008992849,0.00003706209,0.000001860992,0.00004674237,0.00002643575,0.000005290423,0.00005064912,0.0002291338,0.9909528,0.008529009],"study_design_scores_gemma":[0.00001247937,0.00004688577,0.0003964337,0.0001082306,0.000004198268,0.000126775,0.000214001,0.0000131292,0.00006611776,0.0002799905,0.9987181,0.00001371076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003525967,0.009259714,0.0005033833,0.3400976,0.63074,0.00006945281,0.0001777977,0.0004601257,0.01833932],"genre_scores_gemma":[0.003048748,0.01098644,0.001477816,0.3475376,0.1783146,0.0001049767,0.0005551354,0.0003654979,0.4576091],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1468257,"threshold_uncertainty_score":0.4911808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04882008916232385,"score_gpt":0.4637106924892721,"score_spread":0.4148906033269483,"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."}}