{"id":"W7067478985","doi":"","title":"MissionIRNewsBreaks – EverGen Infrastructure Corp. (TSX.V: EVGN) (OTCQX: EVGIF) Investing in Projects Across Canada to Build Clean Energy Future","year":2022,"lang":"en","type":"other","venue":"","topic":"Environmental and Sediment Control","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Clean energy; Energy (signal processing); Renewable energy; Government (linguistics); Clean technology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001724969,0.000668239,0.000538268,0.00007465351,0.0002353393,0.00004345166,0.0008912295,0.0003435859,0.1199597],"category_scores_gemma":[0.00002576577,0.0005778916,0.00009367031,0.0005232209,0.0001062698,0.00009641181,0.001263647,0.00059159,0.0001350767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00186364,"about_ca_system_score_gemma":0.0001349775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8409624,"about_ca_topic_score_gemma":0.966671,"domain_scores_codex":[0.9962344,0.0001393692,0.0004540239,0.001117918,0.001107274,0.0009470595],"domain_scores_gemma":[0.9985574,0.00003433069,0.0002446714,0.000654793,0.000002273833,0.0005065204],"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":[0.00003202717,0.00005637675,0.05267803,0.00001997649,0.00003029844,0.0001110293,0.0003015786,0.001177546,0.0007019052,0.00002712357,0.9115924,0.03327167],"study_design_scores_gemma":[0.0006230367,0.00007783387,0.01916284,0.00004445852,0.0000134842,0.00001592112,0.001005903,0.00011329,0.0002266399,0.00003203553,0.9779408,0.0007437801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03745217,0.000467724,0.00006264681,0.002013907,0.001995818,0.001669818,0.0004258898,0.0002667205,0.9556453],"genre_scores_gemma":[0.04461116,0.00009355439,0.001258487,0.01270508,0.0006322012,0.0002300476,0.0002754922,0.0005536202,0.9396403],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1257087,"threshold_uncertainty_score":0.9996672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003368213098198196,"score_gpt":0.1886819539530613,"score_spread":0.185313740854863,"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."}}