{"id":"W6977675007","doi":"10.6084/m9.figshare.14716728.v1","title":"Supplementary Material for: A Scientometric Analysis of the 100 Most Cited Articles on Pallidotomy","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pallidotomy; Neurosurgery; Citation; Web of science; Bibliometrics; Citation analysis","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":"observational","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":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002265416,0.001253793,0.001449174,0.03788825,0.0007332196,0.002765585,0.001241034,0.000876456,0.548753],"category_scores_gemma":[0.04172369,0.0005408445,0.001795899,0.04305642,0.00030705,0.002431238,0.001541014,0.0007470979,0.1000678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352653,"about_ca_system_score_gemma":0.003741771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005754444,"about_ca_topic_score_gemma":0.01265084,"domain_scores_codex":[0.9978789,0.0002119336,0.000703306,0.0002865766,0.0007290885,0.000190275],"domain_scores_gemma":[0.9304128,0.04234708,0.008919073,0.001372654,0.01535475,0.0015938],"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":[0.0006434179,0.000155619,0.01384897,0.02354617,0.0003845422,0.0003851977,0.0002726976,0.0005163797,0.0007236937,0.001635345,0.8905105,0.06737747],"study_design_scores_gemma":[0.0006018757,0.0002997163,0.1908727,0.01452359,0.0009871711,0.001788426,0.001730943,0.002345273,0.001273851,0.007778548,0.7775886,0.0002092253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002820616,0.0006849506,0.0005888889,0.0006903952,0.0002144192,0.0002698934,0.9876581,0.0008292294,0.006243458],"genre_scores_gemma":[0.02658343,0.003641231,0.01510476,0.0011092,0.0008530745,0.002609534,0.9281863,0.001303843,0.02060871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9621118,"threshold_uncertainty_score":0.6436491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07892211001078472,"score_gpt":0.3386987702627445,"score_spread":0.2597766602519598,"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."}}