{"id":"W4401724459","doi":"10.1145/3678502","title":"A Technology Swiss Army Knife","year":2024,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Phone; Mobile phone; Mobile device; Convergence (economics); Telecommunications; Computer security; World Wide Web","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.00004768079,0.00004106574,0.00005181659,0.00008088592,0.00004869206,0.00001215982,0.00780747,0.00003765065,0.00001054196],"category_scores_gemma":[0.0004830569,0.00003018293,0.00003681153,0.0003314261,0.0001097432,0.00003222829,0.003002571,0.000144622,0.00006173908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001512629,"about_ca_system_score_gemma":0.00001187174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001289729,"about_ca_topic_score_gemma":0.00001038502,"domain_scores_codex":[0.9997922,0.00001036823,0.00008229151,0.00001513444,0.00002999079,0.00007005872],"domain_scores_gemma":[0.9892142,0.00008775097,0.000007602905,0.01066841,0.00001269186,0.000009319398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002265032,0.00007466391,0.001911777,0.000315484,0.000342941,3.141215e-7,0.01227878,0.001971395,0.06970779,0.3361493,0.544521,0.03272424],"study_design_scores_gemma":[0.0000817087,0.00001480942,0.002267268,0.000217498,0.00005260841,0.00002077397,0.0008211201,0.005376718,0.03940203,0.2639248,0.6876545,0.0001661125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5732608,0.05748963,0.0001158183,0.2719641,0.0007572484,0.0002928034,0.00004707002,0.001592711,0.09447978],"genre_scores_gemma":[0.9969019,0.0004729081,0.002197101,0.00002894926,0.00001248952,0.00001079908,0.000001549516,0.00001056765,0.0003637644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4236411,"threshold_uncertainty_score":0.9975607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735896403578098,"score_gpt":0.2925707206463165,"score_spread":0.2652117566105355,"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."}}