{"id":"W3136837583","doi":"10.71781/12680","title":"Biohacking and code convergence : a transductive ethnography","year":2020,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Convergence (economics); Ethnography; Computer science; Artificial intelligence; Sociology; Anthropology; Programming language; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005117277,0.0001589054,0.0001806599,0.00006962435,0.000031098,0.00006935195,0.0001858633,0.0001783217,0.0004774803],"category_scores_gemma":[0.000009192593,0.0001640408,0.00003219434,0.0002140228,0.0000211454,0.00009673309,0.0000103098,0.0002463869,0.00005901843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001349521,"about_ca_system_score_gemma":0.00002638117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000109379,"about_ca_topic_score_gemma":0.00006219807,"domain_scores_codex":[0.9994176,0.000006064777,0.0001457445,0.000214083,0.00008944202,0.000127047],"domain_scores_gemma":[0.9997533,0.00001520637,0.00002126443,0.00008516156,0.00001825731,0.0001067844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006904705,0.0000559896,0.0001002783,0.0022227,0.0004756526,0.00001843997,0.05568873,0.0002161966,0.04010285,0.00006830195,0.0042463,0.8967355],"study_design_scores_gemma":[0.0009403088,0.000148142,0.009489833,0.001589547,0.0003792475,0.00001343267,0.008910457,0.02332222,0.08518214,0.0003380985,0.8676734,0.002013169],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490919,0.004030718,0.001776158,0.0004227489,0.004954063,0.0008514579,0.0002221819,0.0000616376,0.03858913],"genre_scores_gemma":[0.9918178,0.000662286,0.005260902,0.00001871764,0.0001928709,0.00005873925,0.001001037,0.00006543724,0.0009221656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8947223,"threshold_uncertainty_score":0.6689391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311351415936003,"score_gpt":0.2866207141591936,"score_spread":0.2554855725655933,"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."}}