{"id":"W4408155606","doi":"10.1007/s13563-025-00498-7","title":"Case study: Relationship between gold-copper prices and mining share prices on the New York, Toronto, and Australian stock exchanges, an application of structural equation modeling","year":2025,"lang":"en","type":"article","venue":"Mineral Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock price; Structural equation modeling; Econometrics; Copper; Economics; Financial economics; Geography; Mathematics; Statistics; Geology; Chemistry; Series (stratigraphy); Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001095121,0.0003689531,0.0003835219,0.001562104,0.001167863,0.0009586982,0.0009026814,0.001392184,0.001992574],"category_scores_gemma":[0.005422323,0.000302959,0.0006472305,0.002575821,0.000652301,0.0008462943,0.0006590663,0.001113667,0.0001787982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002662286,"about_ca_system_score_gemma":0.001709273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3253897,"about_ca_topic_score_gemma":0.3901996,"domain_scores_codex":[0.9995251,0.0002054368,0.00004186703,0.00006375253,0.00009601946,0.00006788551],"domain_scores_gemma":[0.9949092,0.003685962,0.0005558087,0.0002107267,0.0004056949,0.0002325196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003394627,0.001078551,0.9518685,0.00008633408,0.0003744781,0.004863437,0.002392532,0.02251927,0.0007195162,0.005857511,0.002892431,0.007007923],"study_design_scores_gemma":[0.0002347336,0.0006717335,0.8446776,0.00002729741,0.0003152065,0.001404584,0.007842666,0.1384472,0.001629236,0.001775657,0.002898993,0.00007504661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977806,0.00004261303,0.0005173448,0.0002430518,0.00000526225,0.00002542255,0.0003984141,0.00001159338,0.0009757029],"genre_scores_gemma":[0.9974043,0.00008603271,0.0007295992,0.00002509443,0.00001573365,0.00002223244,0.0004605208,0.000003457377,0.001253057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6746103,"threshold_uncertainty_score":0.6469915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331870685060438,"score_gpt":0.2917741088088777,"score_spread":0.1585870403028338,"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."}}