{"id":"W4390474315","doi":"10.21203/rs.3.rs-3822158/v1","title":"An investigation into the economic adjustments in metal markets throughout the transition to renewable energy","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Profitability index; Renewable energy; Order (exchange); Business; Variety (cybernetics); Work (physics); Industrial organization; Environmental economics; Marketing; Natural resource economics; Economics; Engineering; Finance; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001316724,0.0001840716,0.0001612705,0.0003290585,0.0001655256,0.0003536974,0.0003956083,0.0001869448,0.0001722667],"category_scores_gemma":[0.00003649638,0.0001286201,0.00006618277,0.0003617647,0.00006515683,0.0002086563,0.0001370651,0.0008564176,0.0001485079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006384884,"about_ca_system_score_gemma":0.0003018068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005626817,"about_ca_topic_score_gemma":0.01693165,"domain_scores_codex":[0.9982358,0.0004041266,0.0003035706,0.0003677692,0.0004003963,0.0002883341],"domain_scores_gemma":[0.999138,0.0001647912,0.00002213866,0.0004760757,0.00009257298,0.0001064194],"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":[0.00002914314,0.0000201233,0.00003407435,0.0005671405,0.0000697359,0.000006277255,0.01482602,0.9627885,0.002451925,0.001551041,0.01304321,0.004612847],"study_design_scores_gemma":[0.0003352607,0.0001467443,0.003139657,0.0007630978,0.00004778759,0.000006009638,0.00871512,0.7915311,0.02910209,0.1108864,0.05470042,0.000626375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494998,0.007300243,0.002930225,0.009702302,0.001970081,0.002179587,0.0001333349,0.0006423625,0.02564208],"genre_scores_gemma":[0.996603,0.0007554626,0.00009730164,0.0001407845,0.0002351439,0.0007409262,0.0001952915,0.00004726086,0.001184904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1712574,"threshold_uncertainty_score":0.9448258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04009338817200842,"score_gpt":0.3745865509258439,"score_spread":0.3344931627538355,"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."}}