{"id":"W7017728988","doi":"","title":"Canadian Government Provides C$100 Million Financing LOI to Green Technology Metals in Support of Electric Royalties' Flagship Lithium Royalty Asset in Ontario","year":2024,"lang":"en","type":"other","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Asset (computer security); Investment (military); Lithium (medication); Sustainability","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":[0.001166099,0.001003614,0.0006119019,0.003009752,0.008387676,0.004013908,0.001471646,0.002429573,0.2899942],"category_scores_gemma":[0.003362201,0.0007961444,0.001202045,0.001699264,0.001251049,0.001066846,0.001901298,0.002076276,0.07545064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04465147,"about_ca_system_score_gemma":0.1245654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9717897,"about_ca_topic_score_gemma":0.9898056,"domain_scores_codex":[0.9971548,0.00006316372,0.00003551852,0.0001280343,0.001889772,0.0007285904],"domain_scores_gemma":[0.9942834,0.0001602362,0.00007446787,0.0001701311,0.004221844,0.001089905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005865151,0.00003955916,0.0006351151,0.00008782059,0.00001150601,0.00007595963,0.00009548431,0.0001539931,0.0006153088,0.00876318,0.9608777,0.02858572],"study_design_scores_gemma":[0.00002082398,0.00001342158,0.001385748,0.00003225724,0.000007537416,0.00002874968,0.0001367889,0.000359808,0.0003422191,0.0005008761,0.9971586,0.00001302495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002606137,0.0004855437,0.0009842763,0.008135655,0.001133643,0.0002340257,0.009807101,0.001100371,0.9755132],"genre_scores_gemma":[0.00607115,0.0002858148,0.0009392453,0.0009621243,0.00005167593,0.00002906597,0.002122337,0.0002201301,0.9893185],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2899942,"threshold_uncertainty_score":0.9701271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710335193773486,"score_gpt":0.2457123915548238,"score_spread":0.2286090396170889,"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."}}