{"id":"W4388873801","doi":"10.1145/3625469.3625508","title":"Leveraging Information Management in Understanding the Global Iron Ore Trade: A Complex Network Theory Approach","year":2023,"lang":"en","type":"article","venue":"","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Centrality; Iron ore; International trade; China; Business; Index (typography); Economic geography; Industrial organization; Computer science; Economics; Geography","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":[0.0005427522,0.00008334043,0.00006808362,0.00005317473,0.00009708412,0.0000710095,0.00009294412,0.0000293695,0.00004102825],"category_scores_gemma":[0.000003097723,0.00005814046,0.00002976128,0.00049719,0.00001164727,0.0002064106,0.00002908507,0.0001193433,0.00003956769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940019,"about_ca_system_score_gemma":0.000001901295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005289477,"about_ca_topic_score_gemma":0.00000683282,"domain_scores_codex":[0.9994107,0.00003991777,0.0001640963,0.00006187813,0.0001220481,0.0002013842],"domain_scores_gemma":[0.9998401,0.00002864667,0.0000161161,0.00009117954,0.00000133414,0.00002265994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007737874,0.000005053649,0.0003098606,0.00007618537,0.00002903983,0.000001751552,0.0007352426,0.6666396,0.00000631492,0.2989289,0.003361991,0.02989838],"study_design_scores_gemma":[0.0002477546,0.000003274895,0.02050734,0.00001648069,0.000008421291,0.000005143847,0.0117795,0.94424,9.438817e-7,0.01444534,0.008621741,0.0001240824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004651288,0.0000221739,0.6915521,0.0002126457,0.0002360547,0.0002221443,0.000001246121,0.0004880793,0.3026143],"genre_scores_gemma":[0.9987987,0.00002730169,0.0008070982,0.0002207258,0.00003883589,0.000009581563,0.00003341572,0.000005545,0.00005881533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9941474,"threshold_uncertainty_score":0.2370899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0601038457453611,"score_gpt":0.248297742716691,"score_spread":0.1881938969713299,"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."}}