{"id":"W4399828317","doi":"10.32920/26052532.v1","title":"Cashing in on the Ring of Fire: Its \"value\" to Ontario's EV Market & Supply Chain, A Life Cycle assessment of the Mining Sector","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Supply chain; Value (mathematics); Business; Ring (chemistry); Life-cycle assessment; Natural resource economics; Industrial organization; Agricultural economics; Economics; Marketing; Microeconomics; Chemistry; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006334567,0.0002374083,0.0003163303,0.0001374209,0.00004341809,0.00008360663,0.000347271,0.000150574,0.001496666],"category_scores_gemma":[0.0002074517,0.0001598692,0.0001230044,0.0002642046,0.00001331692,0.00005200033,0.0002539687,0.0008526087,0.00001010673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303855,"about_ca_system_score_gemma":0.0003258608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003029555,"about_ca_topic_score_gemma":0.04089748,"domain_scores_codex":[0.9985323,0.00007577203,0.0005526413,0.0002741667,0.0003774057,0.0001877427],"domain_scores_gemma":[0.9990054,0.0003384346,0.0001101495,0.0004208052,0.00006579802,0.00005941457],"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":[0.0000189178,0.00006267587,0.002201003,0.00129212,0.000164355,0.000002491686,0.008656573,0.972021,0.002717155,0.002542063,0.00990443,0.0004172373],"study_design_scores_gemma":[0.0005115537,0.00007113731,0.1182889,0.005604465,0.0001262986,0.00001000098,0.002543875,0.8310019,0.01357504,0.001079337,0.02615528,0.001032243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8924331,0.0001901992,0.0003528179,0.001227441,0.0009484948,0.0005277084,0.00002463055,0.00009898998,0.1041966],"genre_scores_gemma":[0.992767,0.00003553539,0.0007959619,0.0002536484,0.0000607459,0.0001070001,0.000004668226,0.00003835564,0.005937022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1410191,"threshold_uncertainty_score":0.9994161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03001805730315604,"score_gpt":0.2886100479705493,"score_spread":0.2585919906673933,"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."}}