{"id":"W2544613631","doi":"","title":"Public Computation & Boundary Play","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boundary (topology); Space (punctuation); Computation; Code (set theory); Boundary-work; Computer science; Public space; Discipline; Open source; Source code; Open source software; Software; Work (physics); World Wide Web; Public sphere; Sociology; Data science; Public relations; Engineering ethics; Political science; Engineering; Programming language; Social science; Architectural engineering; Law; Mathematics; Politics","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":[0.0002596795,0.0003103019,0.0002741705,0.0007862248,0.0002878961,0.0002525247,0.001890411,0.0004536707,0.00005567492],"category_scores_gemma":[0.00005867498,0.0003280018,0.0001365241,0.0007006445,0.0002696814,0.001168722,0.00219603,0.000822261,0.0005247003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005957543,"about_ca_system_score_gemma":0.000316114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001593042,"about_ca_topic_score_gemma":0.00001972466,"domain_scores_codex":[0.9979808,0.0001523304,0.0002420589,0.001129002,0.0001081421,0.0003877031],"domain_scores_gemma":[0.9978385,0.0001124796,0.0004371555,0.001007291,0.0005272148,0.00007738661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001320586,0.00008304369,0.001171995,0.00002614662,0.0001241212,0.0002225928,0.0001451936,0.002459296,0.0002039718,0.9886632,0.002562015,0.004325242],"study_design_scores_gemma":[0.0007372357,0.0001064855,0.002370149,0.0001551982,0.00003067625,0.00003305209,0.00004159652,0.2017856,0.0008629382,0.7853912,0.00768543,0.000800467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1099091,0.00001810913,0.874033,0.001058917,0.001640378,0.0002247017,0.00001048349,0.0007369304,0.01236837],"genre_scores_gemma":[0.9962969,0.00001629344,0.001844845,0.0001867983,0.00009856146,0.000001710959,0.00002543251,0.00001831305,0.001511141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8863878,"threshold_uncertainty_score":0.9999172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1232161020010484,"score_gpt":0.2158371183491023,"score_spread":0.09262101634805389,"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."}}