{"id":"W4236645595","doi":"10.46427/gold2020.979","title":"Examining Formation and Dissolution of Fe-Rich Incipient Weathering Products Using Field, Laboratory, and Reactive Transport Modeling Approaches","year":2020,"lang":"en","type":"article","venue":"Goldschmidt Abstracts","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weathering; Dissolution; Field (mathematics); Environmental science; Environmental chemistry; Chemical engineering; Chemistry; Process engineering; Computer science; Materials science; Geology; Engineering; Geochemistry","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":[0.0001584826,0.0001356573,0.0001751211,0.00004492104,0.00003830059,0.00001809145,0.00004006057,0.00007899684,0.000002922509],"category_scores_gemma":[0.00005090099,0.0001449153,0.000009326045,0.00009884421,0.00001969893,0.000537158,0.00002031463,0.00008534061,0.000001230457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000475767,"about_ca_system_score_gemma":0.000009908664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000945819,"about_ca_topic_score_gemma":0.000001748266,"domain_scores_codex":[0.999193,0.00001409314,0.0003277991,0.000176269,0.0001429976,0.0001458514],"domain_scores_gemma":[0.9997031,0.00002460864,0.0000941726,0.00008265887,0.00001714735,0.00007832598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002180955,0.0000112303,0.002361451,0.0003590558,0.00001825204,0.000002024203,0.00379181,0.1437127,0.848914,0.00000827496,0.000001625143,0.0007978496],"study_design_scores_gemma":[0.000347184,0.00005970367,0.023289,0.0000944616,0.00004054209,0.000004826102,0.001018695,0.2750922,0.6997959,0.0000102711,0.00002830752,0.0002189497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99551,0.0002642002,0.003674268,0.0000449085,0.00006921082,0.0002282687,0.0000116066,0.00006830345,0.0001292421],"genre_scores_gemma":[0.9968906,0.00007354305,0.002908385,0.00001397166,0.00006717268,0.000007600755,0.00001461815,0.00002316606,9.612015e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1491181,"threshold_uncertainty_score":0.5909473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05302069407271014,"score_gpt":0.2056148891788242,"score_spread":0.1525941951061141,"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."}}