{"id":"W2147817273","doi":"10.1038/ngeo306","title":"Alternating Si and Fe deposition caused by temperature fluctuations in Precambrian oceans","year":2008,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":161,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Precambrian; Biogenic silica; Abiotic component; Mineral; Deposition (geology); Photic zone; Geology; Precipitation; Banded iron formation; Iron oxide; Early Earth; Mineralogy; Geochemistry; Environmental chemistry; Chemistry; Oceanography; Paleontology; Phytoplankton; Diatom","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001874793,0.00010838,0.000107909,0.0001029439,0.0004677452,0.00004603465,0.000177633,0.0002172664,0.00001939886],"category_scores_gemma":[0.00009028063,0.00009221915,0.00002209016,0.0004051264,0.0002692458,0.0003969836,0.000001921625,0.0004807662,0.000002548155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002850571,"about_ca_system_score_gemma":0.00005264613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000689099,"about_ca_topic_score_gemma":0.0100974,"domain_scores_codex":[0.9989961,0.00005964664,0.000138636,0.0003164454,0.0002246176,0.0002645371],"domain_scores_gemma":[0.9996278,0.00009730479,0.00005054244,0.000101556,0.00002655439,0.00009625023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008487058,0.00001356103,0.9831434,0.000004618106,0.000003049128,0.00004428835,0.0004867045,0.00003121743,0.004472126,0.00008090136,0.0002696317,0.01144202],"study_design_scores_gemma":[0.000178808,0.00004644057,0.9961933,0.00001424753,0.000002678672,0.00007723823,0.00004925637,0.002839147,0.0002627869,0.0001367787,0.00008388801,0.0001154419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880785,0.006129691,0.00005160815,0.0005086778,0.0002215432,0.0001153889,0.00006332085,0.00002825277,0.004803061],"genre_scores_gemma":[0.9985469,0.0001666123,0.0009034061,0.0002448377,0.0000384678,9.979931e-7,0.00002422138,5.947765e-7,0.00007398565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0130499,"threshold_uncertainty_score":0.5634586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00710281466259806,"score_gpt":0.217427672458373,"score_spread":0.2103248577957749,"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."}}