{"id":"W6894202673","doi":"10.5683/sp2/j6go8z","title":"Data for: Fine-scale structure of Earth's deep mantle resolved through statistical analysis of Hawaiian basalt geochemistry","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Statistical analysis; Basalt; Mantle (geology); Statistical model; Compositional data","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009595174,0.002228806,0.001124043,0.003643871,0.0008094145,0.001899049,0.003199709,0.002012948,0.1107498],"category_scores_gemma":[0.004665191,0.001081905,0.001663893,0.008134656,0.00055347,0.001514717,0.002177231,0.001853063,0.07319153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002161663,"about_ca_system_score_gemma":0.004466126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1320115,"about_ca_topic_score_gemma":0.12944,"domain_scores_codex":[0.9994029,0.00004545004,0.00006711157,0.0001633696,0.0001636367,0.0001575086],"domain_scores_gemma":[0.9974667,0.0004070016,0.0002841146,0.0005657045,0.0009030065,0.000373604],"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":[0.00006402269,0.00002265849,0.001683714,0.0006873337,0.00006221017,0.00002636892,0.0000596348,0.0007363965,0.0002559355,0.0006849502,0.9937605,0.001956189],"study_design_scores_gemma":[0.000427642,0.00001941217,0.01767221,0.0003236701,0.00007388544,0.00004702526,0.0001835985,0.0007872279,0.001036025,0.002298167,0.9770428,0.00008845332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005833019,0.000007868315,0.00002427516,0.00001831154,0.000007429903,0.000003131164,0.9995614,0.0001616659,0.0001575914],"genre_scores_gemma":[0.0004672587,0.00002256029,0.0002083806,0.00002350842,0.00000434678,0.00003623949,0.9988218,0.00009708305,0.0003187213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1320115,"threshold_uncertainty_score":0.3704949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03353630919839446,"score_gpt":0.3110697291615667,"score_spread":0.2775334199631722,"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."}}