{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008659117,0.0008761066,0.0002476894,0.001187496,0.003373227,0.003543121,0.001007333,0.00238201,0.3618096],"category_scores_gemma":[0.001697732,0.000360194,0.0004277344,0.001015194,0.0007960469,0.001363599,0.001923458,0.00277015,0.1468269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01014922,"about_ca_system_score_gemma":0.02615142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6281553,"about_ca_topic_score_gemma":0.8046299,"domain_scores_codex":[0.9990807,0.00002592776,0.00001108381,0.00006208072,0.0005463418,0.0002739446],"domain_scores_gemma":[0.9976452,0.00007565084,0.00003609081,0.00007487381,0.001467115,0.000701091],"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":[0.00003313854,0.00002746956,0.0003430692,0.0000317763,0.000002414012,0.00003392274,0.00003098963,0.00006271867,0.0002641184,0.004758643,0.9795356,0.01487621],"study_design_scores_gemma":[0.000007455968,0.000007099501,0.0006437267,0.00002153657,0.000001098129,0.00001264982,0.00005919256,0.0001056918,0.0002350525,0.0004190847,0.9984828,0.000004699281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001435209,0.0004935818,0.0007825672,0.007980735,0.001017755,0.0001302618,0.0172069,0.001585292,0.9693677],"genre_scores_gemma":[0.004285794,0.0002927256,0.0005750284,0.001545832,0.00005299107,0.00003001357,0.008284871,0.0006320218,0.9843007],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6381904,"threshold_uncertainty_score":0.9103012,"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."}}