{"id":"W1979125172","doi":"10.1029/2005eo070006","title":"EarthScope science for Mid‐America","year":2005,"lang":"en","type":"article","venue":"Eos","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multidisciplinary approach; Work (physics); Variety (cybernetics); Geology; Archaeology; Library science; Geography; Political science; Engineering; Law; Computer science","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":[0.0009710935,0.0008157822,0.0004354963,0.004105187,0.0009316573,0.003282164,0.001096217,0.0009574298,0.1891371],"category_scores_gemma":[0.003734959,0.0005028577,0.0004480492,0.005675553,0.0004489462,0.003164873,0.00272442,0.001594544,0.1287568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009470612,"about_ca_system_score_gemma":0.002394669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01688562,"about_ca_topic_score_gemma":0.02193267,"domain_scores_codex":[0.9995555,0.00004698495,0.00004122564,0.00008496953,0.0002294987,0.00004175275],"domain_scores_gemma":[0.9982768,0.0002056957,0.0001108647,0.0004396931,0.000727136,0.0002397611],"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":[0.00001455286,0.000009899199,0.0004913178,0.0001127327,0.000006067601,0.00004987659,0.0000861243,0.000115785,0.0005040483,0.01005851,0.9002265,0.08832455],"study_design_scores_gemma":[0.00000452307,0.000001523593,0.0006739126,0.000043309,0.000001241079,0.00004153241,0.00001919668,0.0001064118,0.0000812112,0.001896189,0.9971276,0.000003492096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002769214,0.01353948,0.07130396,0.01211497,0.005063993,0.0004120549,0.2009775,0.06205155,0.6317672],"genre_scores_gemma":[0.02293386,0.01608703,0.1233486,0.004081021,0.002585728,0.001009075,0.2894018,0.02711371,0.5134392],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1891371,"threshold_uncertainty_score":0.6327266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380234589537879,"score_gpt":0.2440033326111056,"score_spread":0.2302009867157268,"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."}}