{"id":"W6923282545","doi":"10.14288/1.0356489","title":"[Letter from Mayor G. G. McGreer]","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); China; Power (physics); Work (physics)","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":["sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0001298946,0.00009636107,0.0001337793,0.00005362536,0.007252083,0.005375096,0.005742579,0.0000667907,0.0001577251],"category_scores_gemma":[0.0001508103,0.00009860283,0.00004501091,0.000210427,0.0001173728,0.000756676,0.002319249,0.0001557967,0.000183236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008353963,"about_ca_system_score_gemma":0.00008713781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006684259,"about_ca_topic_score_gemma":0.001221057,"domain_scores_codex":[0.9991679,0.00002761628,0.0001229174,0.0003610341,0.0001326657,0.0001879123],"domain_scores_gemma":[0.9977248,0.0000619098,0.0001224709,0.001992847,0.00005332991,0.00004464657],"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":[0.00000151366,0.00002327308,0.00005976644,3.884977e-7,0.00001239802,0.00001002146,0.00006213079,0.000008055718,0.00003812748,0.001491879,0.9931455,0.005146979],"study_design_scores_gemma":[0.0002520148,0.00003364314,0.001786351,0.00001278649,0.000004361266,0.000006599572,0.000005797267,0.004587417,0.0006731547,0.02419263,0.9682795,0.0001657091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007001481,0.00002980843,0.2484958,0.02364179,0.002442046,0.0003691474,0.00001070446,0.0007824065,0.7235281],"genre_scores_gemma":[0.1062345,0.000007054728,0.4450728,0.002074339,0.0003011751,0.0001187167,0.000001982309,0.00002192386,0.4461675],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2773606,"threshold_uncertainty_score":0.9999303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03888903785957053,"score_gpt":0.2747152075035662,"score_spread":0.2358261696439956,"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."}}