{"id":"W6932082780","doi":"10.5281/zenodo.7151870","title":"Mapping Metadata - Improving Dataset Discipline Classification","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Metadata; Field (mathematics); Reuse; Citation; Classification scheme; Information system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04893212,0.001290201,0.002259777,0.03973367,0.003086323,0.01278017,0.003681619,0.002203367,0.00312473],"category_scores_gemma":[0.2393546,0.0007708002,0.002186281,0.04884629,0.001816578,0.01932846,0.01418144,0.00383016,0.00323889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005318803,"about_ca_system_score_gemma":0.01081729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01473898,"about_ca_topic_score_gemma":0.01693162,"domain_scores_codex":[0.9541441,0.01811691,0.008278235,0.006299927,0.01160459,0.001556237],"domain_scores_gemma":[0.7689251,0.06607237,0.0217792,0.07663294,0.06255146,0.004038863],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003357472,0.0003604987,0.14738,0.003614454,0.0004653491,0.0002102237,0.006568587,0.007872991,0.008753452,0.09023836,0.08573587,0.6484645],"study_design_scores_gemma":[0.000178528,0.0002454824,0.08779394,0.002579388,0.0004753777,0.0004448128,0.0112447,0.05000922,0.02109786,0.2905318,0.5349812,0.0004176948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1403031,0.009318956,0.6791373,0.0179529,0.002299336,0.002164482,0.0940569,0.0168692,0.03789793],"genre_scores_gemma":[0.2043997,0.002725027,0.6665499,0.001442769,0.0005672436,0.002002936,0.1158448,0.002561551,0.003906057],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9510679,"threshold_uncertainty_score":0.2587809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172152170583743,"score_gpt":0.2368128271281455,"score_spread":0.1195976100697712,"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."}}