{"id":"W2481999931","doi":"10.5006/mp2004_43_1-16","title":"Average Salaries Edge Upward and Downward","year":2004,"lang":"en","type":"article","venue":"Materials performance","topic":"Diverse Research and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Materials science; Environmental science; Geology; Engineering; Telecommunications","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":[0.0005087769,0.000528498,0.000439275,0.003553147,0.00188545,0.00224547,0.0008160255,0.001223555,0.05344529],"category_scores_gemma":[0.004020465,0.0003017112,0.0009048656,0.004341382,0.0005699872,0.001151585,0.00229893,0.001920721,0.03411222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956865,"about_ca_system_score_gemma":0.002668393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06036962,"about_ca_topic_score_gemma":0.1013293,"domain_scores_codex":[0.9981899,0.00006534548,0.00007391111,0.0001902145,0.0005265945,0.0009541243],"domain_scores_gemma":[0.9945175,0.0002323004,0.0009513441,0.0001586053,0.002470747,0.001669626],"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":[0.0009216857,0.0001523698,0.2742529,0.0003001518,0.0001086873,0.0002527196,0.0009450017,0.001069931,0.00311682,0.01153198,0.4848948,0.222453],"study_design_scores_gemma":[0.00003018326,0.0002198994,0.7264063,0.0001743961,0.00002890453,0.0002438772,0.002159936,0.0003250721,0.0008404653,0.001135456,0.2683992,0.00003619467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4635478,0.009216004,0.002600773,0.04943915,0.006836195,0.0001665365,0.09092312,0.002265104,0.3750052],"genre_scores_gemma":[0.6264771,0.005364256,0.001355308,0.00836573,0.001425755,0.00008061341,0.03802312,0.000385548,0.3185226],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06036962,"threshold_uncertainty_score":0.1787923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281512506593072,"score_gpt":0.2274397568435085,"score_spread":0.2146246317775778,"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."}}