{"id":"W7042577861","doi":"","title":"The Production of Multiform Narratives in the Heterotopic Space of Technoscience: A Critical Instance Case Study of a Western Canadian Genomics Research Facility","year":2009,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Construct (python library); Genomics; Narrative; Work (physics); Space (punctuation); Structural genomics; Translational research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["sts"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014042,0.0001446153,0.0001992207,0.0001701799,0.0003756648,0.00004445268,0.0007230213,0.00015718,4.19479e-7],"category_scores_gemma":[0.0002588008,0.0001165958,0.00007119845,0.0004722725,0.0007558555,0.00004344587,0.0001312585,0.0003759825,5.632967e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000981058,"about_ca_system_score_gemma":0.0002801828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008351277,"about_ca_topic_score_gemma":0.2454285,"domain_scores_codex":[0.9981104,0.000484716,0.0002940615,0.000412487,0.0003488395,0.0003494859],"domain_scores_gemma":[0.9986016,0.0000658421,0.0001237642,0.0007333828,0.0003833986,0.00009203052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001119682,0.0003964633,0.9279946,0.00004666427,0.00002406209,0.00009607761,0.01897292,0.00004150482,0.05174967,0.00003381465,6.439003e-7,0.0005315824],"study_design_scores_gemma":[0.0008779543,0.00200632,0.7924781,0.00008602356,0.00002421874,0.0001172296,0.1465465,0.000001015624,0.05661202,0.0001026116,0.0008995478,0.0002483974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984949,0.0001753415,0.00003673873,0.0004024325,0.00007131196,0.0007610476,0.00002532696,0.000003842612,0.00002907953],"genre_scores_gemma":[0.9996111,0.00009256124,0.00002555105,0.00002080456,0.00002469857,0.000003085238,0.000002477813,0.00000566119,0.0002140322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2445934,"threshold_uncertainty_score":0.7683405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09965539015187475,"score_gpt":0.3721608023197801,"score_spread":0.2725054121679054,"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."}}