{"id":"W4285725755","doi":"10.1108/s2055-364120220000045011","title":"Name Index","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Computer science; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001874328,0.002724506,0.002557172,0.009099537,0.00333426,0.01403639,0.003102049,0.00346738,0.8074788],"category_scores_gemma":[0.01133393,0.001009995,0.001644039,0.01158165,0.001008498,0.01196544,0.005294763,0.002683925,0.8693074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002505476,"about_ca_system_score_gemma":0.004426951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003317054,"about_ca_topic_score_gemma":0.004141791,"domain_scores_codex":[0.9969501,0.0003237149,0.0003940194,0.0005958072,0.001433148,0.0003033321],"domain_scores_gemma":[0.992907,0.0005875066,0.0003622044,0.001000122,0.004042037,0.001101094],"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":[0.00001520227,0.00001972607,0.0001339607,0.0003419964,0.000003587023,0.00002965991,0.00003951327,0.00002972325,0.0001853732,0.002269527,0.9115471,0.08538454],"study_design_scores_gemma":[0.000003101546,0.000008485315,0.0001653462,0.0001107068,0.000001956106,0.00005642591,0.00003872334,0.00002347977,0.00005603481,0.000674814,0.9988536,0.000007288561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004342078,0.005424255,0.002885506,0.005234248,0.02023417,0.0006703224,0.0322146,0.007102302,0.9258005],"genre_scores_gemma":[0.001927131,0.00548476,0.00283536,0.002687222,0.003630928,0.0004053257,0.02941196,0.002672231,0.950945],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1925212,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06456808701859054,"score_gpt":0.3625115487114909,"score_spread":0.2979434616929004,"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."}}