{"id":"W3189020414","doi":"10.1109/mspec.2021.9502948","title":"The Latest Developments in Technology, Engineering, and Science: News","year":2021,"lang":"en","type":"article","venue":"IEEE Spectrum","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Supply chain; Quarter (Canadian coin); Work (physics); Engineering; Variety (cybernetics); Coronavirus disease 2019 (COVID-19); European union; Silicon chip; Silicon valley; Business; Commerce; Manufacturing engineering; International trade; Computer science; Marketing; History; Mechanical engineering; Silicon; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.003279438,0.0009560731,0.0006944891,0.001321379,0.0006977734,0.005693113,0.001130154,0.005594685,0.02638074],"category_scores_gemma":[0.01216183,0.0004175006,0.0006825643,0.00202163,0.001288367,0.004029932,0.0008958115,0.008568618,0.01727586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127629,"about_ca_system_score_gemma":0.001981342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003547163,"about_ca_topic_score_gemma":0.008384881,"domain_scores_codex":[0.9985434,0.000170191,0.000106916,0.0001142534,0.0008878716,0.0001773651],"domain_scores_gemma":[0.9905501,0.004816031,0.0007738694,0.0005525055,0.001919372,0.001388214],"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":[0.00003898456,0.00003192134,0.0001994252,0.0001155241,0.000007464391,0.00007141157,0.00002380062,0.00002926496,0.00005505768,0.002444879,0.9706234,0.02635881],"study_design_scores_gemma":[0.00001621762,0.00001114039,0.001369476,0.0003108396,0.000008633931,0.00008003748,0.00009689672,0.00003873491,0.00005023787,0.001118329,0.9968905,0.000008971242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001605707,0.1088088,0.0009526691,0.5946477,0.2143601,0.00004474676,0.00218699,0.0003701246,0.07702316],"genre_scores_gemma":[0.01535558,0.1832972,0.001823177,0.2792281,0.3162519,0.00009464794,0.002456096,0.0002302119,0.2012631],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02638074,"threshold_uncertainty_score":0.08825237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719431722024605,"score_gpt":0.2038562667221696,"score_spread":0.1866619495019236,"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."}}