{"id":"W2737293604","doi":"","title":"Surrogates, Voice, and Narratives from the Margins","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Narrative; Linguistics; Communication; Computer science; History; Sociology; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0004588552,0.0002160084,0.0002824263,0.00001958578,0.0001822868,0.0005121261,0.0008587068,0.0001889832,0.000008131302],"category_scores_gemma":[0.003612598,0.0001452806,0.0001388645,0.00009576933,0.0007198174,0.0001232335,0.0004344209,0.0001685543,0.000001266757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008521331,"about_ca_system_score_gemma":0.0001016962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001418422,"about_ca_topic_score_gemma":0.0000704806,"domain_scores_codex":[0.9988533,0.00004174242,0.0002826367,0.0003376643,0.0002177052,0.0002670002],"domain_scores_gemma":[0.9925582,0.00008107603,0.0003490382,0.0002410128,0.006683657,0.00008698382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001482768,0.0000925139,0.3811963,0.00009016721,0.000226019,1.421668e-7,0.05203178,0.000003414264,0.5504472,0.002766808,0.01038967,0.002607744],"study_design_scores_gemma":[0.0009718259,0.0004807869,0.4331586,0.0001294828,0.00008961416,0.000008709384,0.01321149,0.0001353501,0.2629578,0.004447232,0.2839944,0.0004147571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929354,0.0007772646,0.00003361698,0.001861084,0.000104452,0.0001887917,0.000144974,0.000009002963,0.003945463],"genre_scores_gemma":[0.9976498,0.0006354111,0.0004712847,0.0003457167,0.0002275914,0.00001248961,0.00001602579,0.00001989471,0.0006217867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2874894,"threshold_uncertainty_score":0.592437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110165784146213,"score_gpt":0.2263801616781579,"score_spread":0.2153635832635366,"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."}}