{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01380233,0.0007833604,0.0006781601,0.004069179,0.008562479,0.009278418,0.001736361,0.002028315,0.004966565],"category_scores_gemma":[0.02669733,0.00058884,0.0004937553,0.003332943,0.026461,0.01224219,0.009474318,0.003777674,0.0005759062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003655439,"about_ca_system_score_gemma":0.002388215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005268819,"about_ca_topic_score_gemma":0.007933226,"domain_scores_codex":[0.9800318,0.01671257,0.0003367354,0.001099947,0.001088787,0.0007300473],"domain_scores_gemma":[0.9710655,0.02482739,0.0009032535,0.001469935,0.001217358,0.0005165702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001861882,0.0000150516,0.001025407,0.00005704094,0.000003331189,0.0001930877,0.9726024,0.00005502854,0.0005079242,0.01977793,0.0004366416,0.005307618],"study_design_scores_gemma":[0.000007747426,0.00003634705,0.001758758,0.0002489985,0.000007243798,0.0003453515,0.9467651,0.0004585219,0.0007949703,0.01419416,0.03535633,0.00002648085],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8424224,0.001717089,0.07331168,0.00784619,0.0003111223,0.0005852833,0.0005265764,0.0001396711,0.07314007],"genre_scores_gemma":[0.9771681,0.0008092547,0.01155641,0.0006584611,0.0000621678,0.0004385895,0.0001621813,0.0001775105,0.008967258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9914375,"threshold_uncertainty_score":0.07299459,"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."}}