{"id":"W6980400929","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":[0.001128981,0.0009415491,0.0005074216,0.002600233,0.009234369,0.003713242,0.001363083,0.002977873,0.1969092],"category_scores_gemma":[0.003108747,0.0007121809,0.001236149,0.001638486,0.001299002,0.0009041572,0.002016641,0.002205906,0.04281305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05120702,"about_ca_system_score_gemma":0.1458587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9834319,"about_ca_topic_score_gemma":0.9945016,"domain_scores_codex":[0.9973187,0.00006389519,0.00003450195,0.0001006345,0.001633692,0.0008486485],"domain_scores_gemma":[0.995363,0.0001508293,0.00007281549,0.0001279003,0.003264439,0.001020935],"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":[0.00006337408,0.00005105603,0.001198984,0.00009473432,0.00001302762,0.0001149028,0.0001329722,0.0002030968,0.0005575441,0.01148686,0.9590737,0.02700974],"study_design_scores_gemma":[0.00002732173,0.00001414398,0.002839068,0.00003655155,0.00000833357,0.0000324045,0.0001974323,0.0004570051,0.0003284771,0.0006118026,0.9954314,0.00001599831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004560023,0.0004968253,0.0009674468,0.01095548,0.0008270659,0.0003155004,0.01197098,0.0008415879,0.9690652],"genre_scores_gemma":[0.007852736,0.0002691639,0.0007580906,0.001298821,0.00004353371,0.00003890616,0.002141312,0.0001841935,0.9874133],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1969092,"threshold_uncertainty_score":0.6587269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018043705587165,"score_gpt":0.2260926578451177,"score_spread":0.2159122207892461,"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."}}