{"id":"W4316804619","doi":"10.3390/curroncol30020099","title":"Acknowledgment to the Reviewers of Current Oncology in 2022","year":2023,"lang":"en","type":"editorial","venue":"Current Oncology","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Current (fluid); Publishing; Medical physics; Clinical Oncology; Quality (philosophy); Data science; Medical education; Oncology; Internal medicine; Computer science; Cancer; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.02963902,0.0005249404,0.002238767,0.001283453,0.0001630469,0.000200768,0.009561327,0.001426804,0.0007707578],"category_scores_gemma":[0.1435213,0.0003301126,0.0004404225,0.003830641,0.0003492696,0.0003590508,0.003553607,0.005262861,0.00316478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898351,"about_ca_system_score_gemma":0.004567718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006703069,"about_ca_topic_score_gemma":0.001560989,"domain_scores_codex":[0.9860473,0.00333469,0.003612837,0.00173528,0.004237701,0.001032192],"domain_scores_gemma":[0.9602138,0.03162538,0.002910253,0.002129085,0.002647155,0.0004743004],"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":[0.00005309966,0.0002160489,0.0002480346,0.00006597107,0.00001424595,0.000003968176,0.0007374369,0.00002050804,6.049958e-7,0.00007738207,0.6322411,0.3663216],"study_design_scores_gemma":[0.0006388846,0.0003542094,0.0001656801,0.0005466346,0.000059181,7.643834e-7,0.0005663391,0.00005598168,0.000002350895,0.001565034,0.9957206,0.0003243657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002688458,0.02385237,0.0001359891,0.004513911,0.9651092,0.001163213,0.0003556619,0.00004374341,0.004557063],"genre_scores_gemma":[0.0001493024,0.0281006,0.00004555048,0.0001432743,0.9643368,0.0009781066,0.000386582,0.00008694076,0.005772829],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3659973,"threshold_uncertainty_score":0.9999151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3449034448964297,"score_gpt":0.5780126529745475,"score_spread":0.2331092080781179,"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."}}