{"id":"W6930822081","doi":"10.5281/zenodo.14929366","title":"RADAR-base/cp-helm-charts: cp-kafka-connect-0.2.2","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pivotal (Canada)","funders":"","keywords":"Chart; Identification (biology); Relation (database); Process (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003906969,0.0003635977,0.0003545028,0.001185571,0.00137518,0.001494957,0.001812908,0.000299338,0.08648929],"category_scores_gemma":[0.0008223368,0.0003722871,0.0001161728,0.0009372081,0.00023576,0.0003373304,0.002493323,0.000492796,0.0421726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009647996,"about_ca_system_score_gemma":0.00000668907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002575977,"about_ca_topic_score_gemma":0.000005045295,"domain_scores_codex":[0.9980009,0.0000496942,0.000304687,0.0006948687,0.0004208143,0.0005290086],"domain_scores_gemma":[0.9984545,0.00001926565,0.0003073383,0.0008351093,0.0003522037,0.00003162057],"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":[0.00001841212,0.00006943406,0.000002588711,0.0003188743,0.00007073733,0.0000209921,0.00002044281,0.000001510382,0.0001430001,0.04881954,0.895849,0.0546655],"study_design_scores_gemma":[0.0004271654,0.00002969998,0.00002662723,0.0002381502,0.00005668771,0.000006496202,0.0002330133,0.00004075196,0.00005490182,0.001157281,0.997328,0.0004012563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000710204,0.0003737725,0.001171524,0.002010104,0.0003596695,0.0006083691,0.0002140791,0.00627122,0.9889203],"genre_scores_gemma":[0.01468307,0.0006539037,0.000590809,0.002804652,0.003393918,3.8118e-7,0.006693194,0.01611096,0.9550691],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.101479,"threshold_uncertainty_score":0.9999249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664438380691292,"score_gpt":0.2191383385949525,"score_spread":0.1924939547880396,"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."}}