{"id":"W4310988580","doi":"10.3390/curroncol29120729","title":"Cost Analysis of a Digital Multimodal Cancer Prehabilitation","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer survivorship and care","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prehabilitation; Medicine; Cancer; Bioinformatics; Physical therapy; Internal medicine; 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":[0.00172221,0.0007914994,0.0007071688,0.0008040318,0.0002716685,0.0008112979,0.0008897468,0.0007173147,0.006969661],"category_scores_gemma":[0.00537265,0.0003676497,0.001561974,0.0009207104,0.0002698658,0.0007001441,0.0006355273,0.0007871485,0.0002224484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00442767,"about_ca_system_score_gemma":0.001759227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03184598,"about_ca_topic_score_gemma":0.01434451,"domain_scores_codex":[0.9992554,0.0004121057,0.00002608578,0.00007439841,0.0001104477,0.0001215651],"domain_scores_gemma":[0.9973032,0.00206993,0.0002135235,0.0000821666,0.0002197548,0.0001113495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002020405,0.0004039659,0.01731586,0.0003009241,0.000341086,0.0001678927,0.00002257082,0.9514359,0.0002724712,0.001910459,0.001046634,0.02476188],"study_design_scores_gemma":[0.0004687872,0.001934369,0.02315354,0.0001043681,0.0005208367,0.0001771564,0.0001069199,0.9699544,0.0004195819,0.002171743,0.0009535847,0.00003460963],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719799,0.001628392,0.01537641,0.001089993,0.00005558884,0.0004880343,0.002972851,0.00005970322,0.006349163],"genre_scores_gemma":[0.9956245,0.0002415679,0.002110071,0.00005691022,0.00001018246,0.0001596737,0.0006887024,0.000005242147,0.001103232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03184598,"threshold_uncertainty_score":0.06332123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1079748664523598,"score_gpt":0.443121518719422,"score_spread":0.3351466522670622,"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."}}