{"id":"W4362578024","doi":"10.29173/iq1086","title":"Editor's notes: FAIR BOT. As metadata is data is metadata is data ...","year":2023,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Computer science; World Wide Web; Vocabulary; Software; Interoperability; Controlled vocabulary; Information retrieval; Metadata repository; Data science; Programming language; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.005566896,0.0006165836,0.0006671037,0.0006635704,0.0005943242,0.02169273,0.05026553,0.0001779004,0.0004085274],"category_scores_gemma":[0.001532778,0.0005734891,0.0001246554,0.002887851,0.0002380065,0.2027436,0.02022304,0.0007250433,0.006953054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007758206,"about_ca_system_score_gemma":0.0004745942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003398807,"about_ca_topic_score_gemma":0.0004776824,"domain_scores_codex":[0.9895499,0.0005627704,0.0009539144,0.004246855,0.003235583,0.001450942],"domain_scores_gemma":[0.962803,0.001378913,0.0005157006,0.03456816,0.0002118108,0.0005223906],"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":[0.0000169206,0.0001532571,0.00010097,0.00008470799,0.0005286009,0.0002257937,0.0006434335,3.133785e-7,0.00009255906,0.00352154,0.9440955,0.05053642],"study_design_scores_gemma":[0.0005059763,0.0002771834,0.000965365,0.00004693949,0.0001840242,0.00001646062,0.0006010499,0.02704646,0.0001565917,0.0009592014,0.9685841,0.0006566301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008475865,0.001219986,0.6988377,0.2364744,0.01287993,0.001805018,0.04148028,0.002148319,0.004306774],"genre_scores_gemma":[0.0754801,0.01001082,0.3496483,0.07814293,0.03988443,0.0007762897,0.1534265,0.001084164,0.2915465],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3491894,"threshold_uncertainty_score":0.9996716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2320272619081568,"score_gpt":0.41853059496566,"score_spread":0.1865033330575032,"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."}}