{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001011084,0.001525857,0.0004266418,0.001525534,0.004495767,0.00497536,0.0006876368,0.001897573,0.3798248],"category_scores_gemma":[0.002385521,0.0005674449,0.0005017091,0.0008642327,0.00102488,0.002667564,0.004173461,0.002893995,0.1834583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002821487,"about_ca_system_score_gemma":0.004702459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01016189,"about_ca_topic_score_gemma":0.016676,"domain_scores_codex":[0.9984028,0.0002020155,0.00005613514,0.0003331365,0.000757492,0.0002484572],"domain_scores_gemma":[0.9981096,0.0001180707,0.00007203552,0.00009851893,0.0005389145,0.001062949],"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":[0.000188999,0.0001189888,0.001386031,0.0001739857,0.00001259966,0.002082044,0.001285917,0.0004427276,0.003281147,0.01593143,0.8382903,0.1368059],"study_design_scores_gemma":[0.000009072748,0.00008881103,0.0007572682,0.0000870711,0.00000319879,0.0007540904,0.000431428,0.0001925046,0.000389552,0.0006675422,0.996604,0.00001561568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01816769,0.006721648,0.01530074,0.06148743,0.01487224,0.0003401147,0.002182425,0.004541888,0.8763858],"genre_scores_gemma":[0.0228637,0.0017155,0.003542076,0.00281244,0.0005932589,0.00009453118,0.0007533359,0.0005369391,0.9670882],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3798248,"threshold_uncertainty_score":0.8846046,"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."}}