{"id":"W2988043013","doi":"","title":"Do-It-Together: Feminist Reconfigurations of Hacking in Montreal","year":2019,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hacker; Insider; Sociology; Queer; Inclusion (mineral); Cultural studies; Media studies; Gender studies; Political science; Law; Computer security; Computer science; Anthropology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009804005,0.0003129008,0.0005532472,0.00283209,0.000454791,0.0003636977,0.002675124,0.0004489408,0.00005021457],"category_scores_gemma":[0.0001977825,0.0003865182,0.0002064322,0.003954608,0.0001965917,0.0007275739,0.0003257567,0.001472115,0.00009362423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007765125,"about_ca_system_score_gemma":0.00204125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02372272,"about_ca_topic_score_gemma":0.0534535,"domain_scores_codex":[0.9960583,0.0006269632,0.0006148394,0.000996914,0.000996294,0.0007066901],"domain_scores_gemma":[0.9964937,0.0006863438,0.0004671046,0.001542981,0.0006504498,0.0001594019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001034237,0.001486519,0.5338925,0.001346684,0.0009324799,0.003700461,0.0445405,0.0006404683,0.01807632,0.3553373,0.01070986,0.0283027],"study_design_scores_gemma":[0.005298182,0.002085565,0.7544914,0.003731338,0.0001666014,0.000155658,0.05943862,0.00489307,0.06113204,0.0108463,0.09389246,0.003868778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4352716,0.00006511036,0.000884425,0.0004421261,0.001039958,0.0007928566,0.00001888346,0.00009884102,0.5613862],"genre_scores_gemma":[0.9345618,0.00004119069,0.0002666852,0.00001048433,0.00009349653,0.000006831691,0.00007149944,0.00003526868,0.06491274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4992902,"threshold_uncertainty_score":0.9998587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259020296033778,"score_gpt":0.2990581599609569,"score_spread":0.2664679570006191,"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."}}