{"id":"W4392760332","doi":"10.5539/ijef.v16n4p45","title":"Volatility of Precious Metals: The Case of Platinum and Palladium","year":2024,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Advanced Materials Characterization Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Palladium; Platinum; Volatility (finance); Precious metal; Economics; Chemistry; Econometrics; Metallurgy; Materials science; Metal; Catalysis; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001316897,0.00004307794,0.0001104349,0.00004403547,0.000006213902,0.00002133263,0.00006452608,0.00001992805,0.000006078964],"category_scores_gemma":[0.00001655098,0.00003379155,0.00002287309,0.00001339096,0.00003674023,0.0001586783,0.00001962434,0.00004446022,8.193501e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000013699,"about_ca_system_score_gemma":0.000009561256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003393669,"about_ca_topic_score_gemma":0.000004134729,"domain_scores_codex":[0.9996105,0.00000477607,0.0003000885,0.00003913332,0.00001673559,0.00002874169],"domain_scores_gemma":[0.9997146,0.00005858859,0.000122113,0.0000387331,0.00005846365,0.000007510772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004274281,0.000132704,0.001832451,0.0009789217,0.001932176,0.0007296245,0.006203054,0.100252,0.1525121,0.2951993,0.0006533553,0.439147],"study_design_scores_gemma":[0.0006991483,0.0002081123,0.006400804,0.0005122874,0.00007114012,0.004354088,0.000136492,0.580506,0.3015934,0.0794226,0.02578736,0.0003085744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941988,0.001213926,0.003906132,0.00009135781,0.0003834954,0.00002975637,0.00009900908,0.000004753885,0.00007278753],"genre_scores_gemma":[0.9929307,0.00535243,0.001639811,0.000006366735,0.00005424093,8.743697e-7,9.77071e-7,0.000005747794,0.00000889548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4802541,"threshold_uncertainty_score":0.1377979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009394748636581926,"score_gpt":0.2333450187419389,"score_spread":0.223950270105357,"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."}}