{"id":"W4294355606","doi":"10.1017/9781108595278.022","title":"Index","year":2018,"lang":"en","type":"paratext","venue":"Cambridge University Press eBooks","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Index (typography); Computer science; Content (measure theory); Information retrieval; Mathematics; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000909995,0.0003472342,0.0002963579,0.00005180575,0.0002438024,0.00004366593,0.0006634218,0.000890799,0.00001954801],"category_scores_gemma":[0.00001312507,0.0004190271,0.000287865,0.0000168486,0.0004383179,0.0000022129,0.0005705813,0.000278974,0.0002187595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005596695,"about_ca_system_score_gemma":0.0002495427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001232975,"about_ca_topic_score_gemma":0.000004424286,"domain_scores_codex":[0.9984646,0.0001047933,0.0001510897,0.000712504,0.0001785558,0.0003884728],"domain_scores_gemma":[0.9985878,0.000007958647,0.0001629561,0.0008413515,0.0002225612,0.0001773585],"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":[0.00008739952,0.00001978009,0.00001290504,0.00006181566,0.0001955061,0.00001047823,0.00003675867,0.000008357993,0.005266016,0.0003616558,0.9937527,0.0001866578],"study_design_scores_gemma":[0.0005567856,0.0001355382,0.00004720303,0.00002907676,0.00006840566,0.000006835998,0.0001063715,0.00002240071,0.02394005,1.07914e-7,0.9746287,0.0004585455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01608028,0.0008559966,0.001828358,0.000009641392,0.001485803,0.0002869394,0.0004855656,0.00002052998,0.9789469],"genre_scores_gemma":[0.01146925,0.001162296,0.0001167059,0.000187268,0.001565641,0.000001475531,0.0006682625,0.00005288756,0.9847762],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01912399,"threshold_uncertainty_score":0.9998261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113376551521581,"score_gpt":0.2166148381247619,"score_spread":0.2052771829726038,"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."}}