{"id":"W6911577459","doi":"10.5281/zenodo.14207456","title":"Message from the Editor","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gender Studies in Language","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outreach; Thematic map; Table (database); Thematic 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005090814,0.001551546,0.00164995,0.001050758,0.00241365,0.007196213,0.002973113,0.01859858,0.02001848],"category_scores_gemma":[0.03474334,0.0006178571,0.001414721,0.0006376526,0.00206988,0.006088841,0.002489595,0.03008852,0.01715356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001922717,"about_ca_system_score_gemma":0.004335883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007928273,"about_ca_topic_score_gemma":0.001108757,"domain_scores_codex":[0.9965628,0.0005849916,0.0003866052,0.0006611802,0.001447936,0.0003565757],"domain_scores_gemma":[0.9823185,0.004582171,0.0009917337,0.0006184463,0.007959113,0.003530002],"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":[0.00002068149,0.00001025513,0.00007021605,0.0000841263,0.000005906249,0.0001179942,0.00003505023,0.00001160901,0.0000389834,0.0002706297,0.9953291,0.004005356],"study_design_scores_gemma":[0.00003741064,0.00003571587,0.0004377784,0.0003460122,0.00001668259,0.0005500271,0.0001842568,0.00008356103,0.0001923043,0.001124571,0.9969628,0.00002885394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001747452,0.00207897,0.000155136,0.418498,0.5771336,0.00002117619,0.00009146286,0.00008162323,0.001765362],"genre_scores_gemma":[0.002131999,0.002471369,0.0002677695,0.6050578,0.3744513,0.00007999493,0.00007512591,0.00008387298,0.01538082],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02001848,"threshold_uncertainty_score":0.0669685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826942904344005,"score_gpt":0.2936229904465045,"score_spread":0.2553535614030645,"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."}}