{"id":"W4255080896","doi":"10.1108/s1877-636120190000021019","title":"Index","year":2019,"lang":"en","type":"paratext","venue":"","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Statistics; Mathematics; Geography; 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":[0.00126032,0.001841135,0.001548229,0.005271384,0.002580433,0.01313391,0.002656221,0.00286374,0.7903109],"category_scores_gemma":[0.006206613,0.0006184384,0.001274246,0.008075471,0.000914006,0.007844169,0.004491588,0.00271356,0.8067527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002632142,"about_ca_system_score_gemma":0.003768082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006103379,"about_ca_topic_score_gemma":0.006649901,"domain_scores_codex":[0.997992,0.000165043,0.0001738932,0.0003980566,0.001078734,0.0001922207],"domain_scores_gemma":[0.9971176,0.0002202644,0.0001130486,0.0004326112,0.001656885,0.0004596001],"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":[0.00001088342,0.00001444086,0.0001089132,0.0001834508,0.000003410854,0.00002373272,0.0000339556,0.00002429219,0.00009862658,0.003230945,0.9323915,0.06387588],"study_design_scores_gemma":[0.000003068674,0.000006261909,0.0002086186,0.00009951615,0.000001646451,0.00003197046,0.00004419541,0.00002004874,0.00003550111,0.00104886,0.9984947,0.000005490028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003658665,0.004176751,0.001302908,0.005943327,0.01822544,0.0002770339,0.01951213,0.002740481,0.947456],"genre_scores_gemma":[0.001344052,0.003176857,0.00101317,0.002111224,0.002206365,0.0001774321,0.0159336,0.0009933469,0.973044],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2096891,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1445927842429387,"score_gpt":0.3379742788907279,"score_spread":0.1933814946477892,"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."}}