{"id":"W7064924208","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":"Magnetic confinement fusion research","field":"Physics and Astronomy","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":[0.001119328,0.0009742805,0.0005869569,0.002484021,0.008931056,0.003679832,0.001515867,0.002836406,0.254778],"category_scores_gemma":[0.003178908,0.0007490799,0.001269885,0.001545169,0.00132761,0.000952503,0.002144242,0.002151991,0.06160903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04469898,"about_ca_system_score_gemma":0.1248996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764108,"about_ca_topic_score_gemma":0.9923104,"domain_scores_codex":[0.9973938,0.00006023937,0.00003173175,0.0001144063,0.001576532,0.0008233074],"domain_scores_gemma":[0.9947078,0.0001643416,0.00007918265,0.0001554563,0.003599273,0.001293762],"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":[0.00005352732,0.00003939099,0.0008899704,0.00007104844,0.00001093738,0.00007610022,0.0000944213,0.0001511046,0.0004110928,0.009143949,0.9686772,0.02038127],"study_design_scores_gemma":[0.00002769902,0.00001391678,0.002116023,0.00003586684,0.000008242036,0.00002936308,0.00017994,0.0004339746,0.0003029966,0.0006861198,0.9961504,0.00001556735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003369005,0.0004631889,0.0009397175,0.009837763,0.0009113145,0.0002462017,0.01276533,0.0009806225,0.9704869],"genre_scores_gemma":[0.00725398,0.0002459669,0.0008019375,0.00128782,0.00005101306,0.00003347152,0.002217592,0.0002355506,0.9878726],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.254778,"threshold_uncertainty_score":0.8523172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009867439142769269,"score_gpt":0.2393934198818814,"score_spread":0.2295259807391121,"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."}}