{"id":"W6993123032","doi":"","title":"North American Clean Energy - Samsung and Pattern Close Financing for Grand Renewable Wind Project, Jumpstarting Job Creation in Ontario","year":2013,"lang":"en","type":"other","venue":"","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Job creation; Renewable energy; Clean energy; Wind power; Clean technology; Clean water","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":[0.0003376369,0.0001808547,0.0001498456,0.0009071719,0.005676719,0.00239897,0.000772094,0.0009431977,0.03490429],"category_scores_gemma":[0.001604368,0.0003133702,0.0002283751,0.002098447,0.0007234956,0.0007784279,0.001210698,0.0008823646,0.002177521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03561624,"about_ca_system_score_gemma":0.1070836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897472,"about_ca_topic_score_gemma":0.998403,"domain_scores_codex":[0.9992556,0.00002343266,0.00001204899,0.00004010662,0.00026076,0.0004080188],"domain_scores_gemma":[0.9979589,0.0001100325,0.0001159694,0.00005359967,0.000612658,0.001148827],"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":[0.0002562112,0.0002603958,0.1580055,0.0002636869,0.00002406524,0.0008768503,0.005408444,0.0007209679,0.001017699,0.02770204,0.7177434,0.08772075],"study_design_scores_gemma":[0.00004787236,0.00004017632,0.5387134,0.0001138763,0.00001541439,0.0001333567,0.01177514,0.0005413194,0.0004000254,0.0009357649,0.447255,0.00002871686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3891843,0.002058032,0.0004687689,0.01995806,0.0002221366,0.0003936194,0.03761418,0.0002274905,0.5498734],"genre_scores_gemma":[0.2499891,0.001363365,0.0004007496,0.0009573812,0.00004048862,0.0001029476,0.004941481,0.00006691991,0.7421375],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03561624,"threshold_uncertainty_score":0.2584151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422085434390795,"score_gpt":0.214856273595141,"score_spread":0.200635419251233,"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."}}