{"id":"W4391239537","doi":"10.1101/2024.01.24.577031","title":"The Increasing Authorship trend in Neuroscience: A scientometric analysis across 11 countries","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scientometrics; Bibliometrics; Neuroscience; Psychology; Data science; Library science; Social science; Sociology; 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":["metaresearch","bibliometrics"],"domain":"incentives","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics","metaresearch"],"domain":"incentives","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaresearch","bibliometrics","open_science"],"category_scores_codex":[0.1096376,0.0007737341,0.001263567,0.1553535,0.001526295,0.03404249,0.009082763,0.0007585015,0.00006872576],"category_scores_gemma":[0.08760361,0.0005263615,0.0007580576,0.622062,0.001443229,0.0006278611,0.009024345,0.002436955,0.0002642817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075415,"about_ca_system_score_gemma":0.001996682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000691971,"about_ca_topic_score_gemma":0.0005544493,"domain_scores_codex":[0.9737198,0.001559957,0.00224214,0.003813341,0.01592504,0.002739756],"domain_scores_gemma":[0.9813561,0.008324931,0.001072814,0.004163151,0.003809778,0.001273258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006797856,0.0002780978,0.9765208,0.0001252562,0.0002150417,0.0003569804,0.000151315,0.0008667188,0.01533335,0.003741184,0.002200637,0.0001426173],"study_design_scores_gemma":[0.000285845,0.00005091702,0.9469934,0.00009273256,0.00015609,6.508085e-8,0.00004790088,0.02046644,0.002779227,0.0001933932,0.02813263,0.0008013268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858526,0.006629859,0.0005826178,0.001553263,0.003786475,0.0006638936,0.000692624,0.0002007511,0.0000379383],"genre_scores_gemma":[0.9980666,0.0007543114,0.0004598921,0.0001579888,0.0002591765,0.0001256394,2.299744e-7,0.00007205467,0.0001041299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4667085,"threshold_uncertainty_score":0.9998645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2407879674511502,"score_gpt":0.4735245480983387,"score_spread":0.2327365806471885,"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."}}