{"id":"W2768531424","doi":"10.1002/2017gc007067","title":"Perceiving the Crust in 3‐D: A Model Integrating Geological, Geochemical, and Geophysical Data","year":2017,"lang":"en","type":"article","venue":"Geochemistry Geophysics Geosystems","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nuclear Physics; Regione Umbria; Instituto Nazionale di Fisica Nucleare; Ministero dell’Istruzione, dell’Università e della Ricerca; Università degli Studi di Ferrara; U.S. Department of Energy; National Science Foundation","keywords":"Crust; Lithology; Tectonics; Continental crust; Mantle (geology)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006519487,0.0004327664,0.0006197694,0.00003012668,0.00103415,0.0005613939,0.00252846,0.0002337192,0.0006152334],"category_scores_gemma":[0.0007767215,0.000273796,0.0001353924,0.0001754828,0.000756412,0.0004632268,0.0008170321,0.0008103182,0.0001020782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009795344,"about_ca_system_score_gemma":0.00006584881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02376549,"about_ca_topic_score_gemma":0.004246829,"domain_scores_codex":[0.9969575,0.0000805647,0.0005565207,0.001123758,0.0004678055,0.0008138159],"domain_scores_gemma":[0.9966434,0.0004102567,0.0003568718,0.002242233,0.00009526316,0.0002520061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001077031,0.000273,0.942951,0.0003317357,0.0001709328,0.0001223857,0.0007861838,0.004943903,0.02336944,0.0003315364,0.001450701,0.02516146],"study_design_scores_gemma":[0.0003334026,0.00002755748,0.2414811,0.00009018012,0.00005980957,0.00002974886,0.0004220103,0.7214455,0.0003936129,0.03508744,0.0001528901,0.0004767466],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876853,0.0004047322,0.00006136001,0.001384358,0.00007688328,0.0002065583,0.000246393,0.00005849149,0.009875907],"genre_scores_gemma":[0.9981791,0.00007711853,0.0003960845,0.0002053916,0.0004050875,0.00001047508,0.0004664752,0.000006905896,0.000253412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7165016,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03672876802367623,"score_gpt":0.2439426939731807,"score_spread":0.2072139259495045,"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."}}