{"id":"W7108222311","doi":"10.25504/fairsharing.16ac95","title":"FAIRsharing record for: Data MB","year":2025,"lang":"","type":"dataset","venue":"FAIRsharing.org","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Accountability; Government (linguistics); Open government; Public access; Data access; Information governance; Open data","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003661829,0.0008858328,0.000997732,0.003821932,0.002499433,0.006959362,0.002903673,0.00196758,0.5621936],"category_scores_gemma":[0.02807949,0.0009476796,0.0007442151,0.009781534,0.00106831,0.004127185,0.004519726,0.002345596,0.4205869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004812536,"about_ca_system_score_gemma":0.01298201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09059686,"about_ca_topic_score_gemma":0.1007447,"domain_scores_codex":[0.997411,0.0003355625,0.0002386056,0.0004816574,0.001012509,0.0005206935],"domain_scores_gemma":[0.9833376,0.002618407,0.0007372977,0.005327959,0.005860017,0.002118721],"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":[0.00001342216,0.000003179383,0.0000872309,0.00004247363,0.000001431061,0.000003030694,0.00001063734,0.00001320119,0.00001045305,0.0005682002,0.9981207,0.001126075],"study_design_scores_gemma":[0.00006056459,0.000003328252,0.001111733,0.0001059499,0.000001879621,0.000007863368,0.00005533971,0.00004002059,0.00006678695,0.001161528,0.9973718,0.0000133287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008254034,0.00002752824,0.00009514226,0.0008700386,0.0002021503,0.00004841503,0.9824427,0.001089864,0.01514165],"genre_scores_gemma":[0.001687027,0.0001139642,0.0006325274,0.001061355,0.000117377,0.000371785,0.9517075,0.001338227,0.0429703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5621936,"threshold_uncertainty_score":0.6244776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1419621421762407,"score_gpt":0.3752632347357157,"score_spread":0.233301092559475,"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."}}