{"id":"W4403022266","doi":"10.1109/tnsm.2024.3470989","title":"Metis: Selecting Diverse Atlas Vantage Points","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Computer science; Atlas (anatomy); World Wide Web; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0004043696,0.0001306285,0.0001164562,0.0001741173,0.001090376,0.0001526088,0.0001330218,0.00006838455,0.0002272302],"category_scores_gemma":[4.077138e-7,0.0001297647,0.0001284195,0.001757476,0.00005605872,0.0001482916,0.000002832896,0.0001980291,0.00008162029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004884154,"about_ca_system_score_gemma":0.00001343473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007292134,"about_ca_topic_score_gemma":0.003138911,"domain_scores_codex":[0.9987723,0.0001190785,0.0001405186,0.0003179249,0.0002919395,0.0003582528],"domain_scores_gemma":[0.9996065,0.00008808495,0.0000189751,0.000122563,0.00002815511,0.0001356613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001273528,0.0003461327,0.0002362428,0.0005961401,0.001273,0.0002180665,0.02851215,0.01105423,0.00001291116,0.06162904,0.0194247,0.87657],"study_design_scores_gemma":[0.0002447602,0.00007953864,0.0001762198,0.0001728846,0.0003574378,0.000001352119,0.007055586,0.001153144,0.0000145801,0.002445365,0.9879695,0.0003296113],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02668364,0.004039427,0.3454345,0.01102808,0.0123818,0.001921514,0.0000372084,0.002217153,0.5962567],"genre_scores_gemma":[0.9912707,0.004185866,0.0007418257,0.001362131,0.0003066138,0.00005845279,0.000001869267,0.00001753406,0.002055022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9685448,"threshold_uncertainty_score":0.8386398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357047343809968,"score_gpt":0.2546587953396102,"score_spread":0.2410883219015105,"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."}}