{"id":"W7107867924","doi":"10.5281/zenodo.17510146","title":"The Global Flows of Iron from Lithosphere to Technosphere","year":2025,"lang":"en","type":"preprint","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"NetCDF; Workflow; Preprocessor; Raw data; Source code; Lithosphere; Silhouette; Heat flow","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":[0.0003507588,0.0005608291,0.0002179148,0.001635624,0.0002558381,0.001490477,0.0002827686,0.0003436897,0.01709249],"category_scores_gemma":[0.0009456758,0.000266143,0.0004506331,0.003544167,0.00019302,0.001180352,0.0005460107,0.0004806597,0.006050257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009033099,"about_ca_system_score_gemma":0.001227587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01710023,"about_ca_topic_score_gemma":0.01392752,"domain_scores_codex":[0.999838,0.00001433279,0.00001067382,0.00005018102,0.00006996548,0.00001676891],"domain_scores_gemma":[0.9997628,0.00005766808,0.00002908776,0.00005555842,0.00007664561,0.00001825674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005405904,0.00009413146,0.07691257,0.001896226,0.0004999253,0.0003285946,0.0008380968,0.0551185,0.01332692,0.03884977,0.5390252,0.2725694],"study_design_scores_gemma":[0.0001135286,0.00005255544,0.1477572,0.0004267793,0.0001720318,0.0002585695,0.0006424178,0.02508622,0.02327808,0.02183909,0.7802538,0.0001197062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1033224,0.001089459,0.02675981,0.001161581,0.0002698107,0.0001121399,0.7668193,0.006520167,0.09394535],"genre_scores_gemma":[0.2336944,0.003206598,0.0482108,0.0002067858,0.00008241404,0.0002732888,0.6858459,0.00388219,0.02459763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01710023,"threshold_uncertainty_score":0.05718011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765695389587668,"score_gpt":0.2509888767559722,"score_spread":0.2333319228600955,"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."}}