{"id":"W4417075764","doi":"10.59350/41vqr-jrf81","title":"The Metadata Game","year":2019,"lang":"","type":"article","venue":"","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Presentation (obstetrics); Process (computing); Natural (archaeology); Geospatial metadata","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001939895,0.0009675901,0.0004516835,0.001009219,0.006011887,0.008276911,0.001465395,0.001952286,0.1092809],"category_scores_gemma":[0.007160175,0.0004871944,0.0007662106,0.0009069705,0.001993047,0.009222253,0.007315517,0.003359651,0.03681664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002346499,"about_ca_system_score_gemma":0.002201879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0092239,"about_ca_topic_score_gemma":0.03027762,"domain_scores_codex":[0.9984776,0.0004582841,0.00006075288,0.0002477367,0.0004481793,0.0003075031],"domain_scores_gemma":[0.9974412,0.000623595,0.00006616194,0.0002481214,0.000362537,0.001258512],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001805938,0.0001491573,0.0005520313,0.00009680106,0.00001034502,0.0001605181,0.002297138,0.0002197622,0.0007169198,0.07653502,0.8647553,0.05432633],"study_design_scores_gemma":[0.00001328628,0.00002398112,0.0002352943,0.00004132197,0.000001910878,0.00005498004,0.0008923563,0.0001887004,0.0001915096,0.008337403,0.9900081,0.00001124698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0177568,0.004376031,0.03740326,0.06400193,0.01357046,0.0004362888,0.00497702,0.008379349,0.8490989],"genre_scores_gemma":[0.1150156,0.002993501,0.03820283,0.01380417,0.002129611,0.000881935,0.007706215,0.003439877,0.8158263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9980601,"threshold_uncertainty_score":0.3655809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1147432414275572,"score_gpt":0.3718221064374543,"score_spread":0.2570788650098971,"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."}}