{"id":"W6980425154","doi":"","title":"Canadian Solar Secures JPY6.2 Billion Green Solar Financing in Japan :: ITbriefing.net ::","year":2016,"lang":"en","type":"other","venue":"","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Renewable energy; Solar energy; Subsidy; Investment (military)","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":[0.0004971282,0.0004201212,0.0002015302,0.001941864,0.004678695,0.003121108,0.0006607285,0.001083748,0.1317147],"category_scores_gemma":[0.002243329,0.0001921591,0.0003814281,0.003869257,0.0004776027,0.001048536,0.001240801,0.001409462,0.01009394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02006255,"about_ca_system_score_gemma":0.06154434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.958747,"about_ca_topic_score_gemma":0.9768797,"domain_scores_codex":[0.9995347,0.0000195697,0.0000071133,0.00002550424,0.0002364711,0.0001765437],"domain_scores_gemma":[0.9981981,0.00007284024,0.000056532,0.00004711683,0.0009667362,0.0006587616],"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":[0.00003595787,0.0000192953,0.003069574,0.00009449779,0.000007661496,0.00003626976,0.000229757,0.0000938831,0.0001093466,0.009275571,0.946589,0.04043928],"study_design_scores_gemma":[0.00001392,0.000005498371,0.0156522,0.00007526977,0.000009415448,0.00002107665,0.0007756879,0.0001337387,0.0001997728,0.0006146212,0.9824861,0.00001266813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02191101,0.005553201,0.0003983666,0.030291,0.001075358,0.0001023221,0.05757475,0.000710904,0.882383],"genre_scores_gemma":[0.1066014,0.006993499,0.001007353,0.002262994,0.0003164185,0.00006978602,0.02025138,0.0004374661,0.8620597],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1317147,"threshold_uncertainty_score":0.4406294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05437460728424515,"score_gpt":0.3435555898290245,"score_spread":0.2891809825447794,"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."}}