{"id":"W4394291074","doi":"10.6084/m9.figshare.21505976","title":"Trends in Graves’ orbitopathy research in the past two decades: a bibliometric analysis","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Radioactive Decay and Measurement Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Regional science; Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.001320101,0.0003027145,0.0004888783,0.147379,0.0001818257,0.0002442648,0.001488479,0.000112309,0.5183702],"category_scores_gemma":[0.00008871019,0.00024408,0.0003503869,0.2746248,0.0000157826,0.0001376416,0.0002902582,0.002023265,0.0001464089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001749744,"about_ca_system_score_gemma":0.0001083939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743651,"about_ca_topic_score_gemma":0.0004447125,"domain_scores_codex":[0.9962659,0.0009250033,0.0004047597,0.0006116635,0.001216059,0.0005766531],"domain_scores_gemma":[0.9981863,0.0005044901,0.0001858238,0.0009307921,0.0001230529,0.00006948296],"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":[0.000009453786,0.0002529014,0.001632654,0.0000398615,0.0001341776,0.00005873493,0.00005992428,0.00001621406,5.610553e-7,0.000009575564,0.9906247,0.007161227],"study_design_scores_gemma":[0.0002484695,0.0000606344,0.0147888,0.0001819146,0.00007541922,8.427937e-7,0.000247389,0.000009336484,0.00001231282,0.0001232457,0.9839935,0.0002580895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008801309,0.0003294056,7.729222e-7,0.00003899238,0.00002808846,0.0003571804,0.996764,0.00001633896,0.002377183],"genre_scores_gemma":[0.01911397,0.00001308046,0.000004888332,0.00003752219,0.0002865843,0.002351894,0.9781019,0.00001809674,0.00007203914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5182238,"threshold_uncertainty_score":0.9953296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1520321032442177,"score_gpt":0.4144794560251318,"score_spread":0.2624473527809141,"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."}}