{"id":"W7037784790","doi":"","title":"FINCHANNEL.com - IFC, Canada, Support Investment in Sustainable Energy Technology in Lebanon","year":2016,"lang":"en","type":"other","venue":"","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Sustainability; Sustainable energy; Government (linguistics); Sustainable development; Energy (signal processing)","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":[0.001135165,0.0004440937,0.0002176982,0.000802553,0.004361502,0.003453279,0.0007586209,0.00236558,0.1540994],"category_scores_gemma":[0.003571142,0.0001421425,0.0002253048,0.001390541,0.0005066637,0.001039257,0.001589653,0.001617897,0.009785512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01389179,"about_ca_system_score_gemma":0.05753532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6587565,"about_ca_topic_score_gemma":0.7483509,"domain_scores_codex":[0.9992825,0.00006638499,0.00001373559,0.00003015346,0.0002301897,0.0003771558],"domain_scores_gemma":[0.9964222,0.0003064788,0.0001257789,0.00005536369,0.001344854,0.001745365],"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":[0.0001186636,0.00007241394,0.005990385,0.0001355761,0.000008659953,0.0001207388,0.0002787056,0.000107339,0.000238988,0.01598029,0.9248911,0.05205717],"study_design_scores_gemma":[0.00005442789,0.00002633492,0.01027243,0.000295957,0.00001013928,0.00004985176,0.001664698,0.0003004726,0.0003921186,0.001102519,0.9858167,0.00001448981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01922759,0.00740036,0.000197783,0.1588505,0.003979499,0.0001051243,0.01469175,0.0002328175,0.7953146],"genre_scores_gemma":[0.07838785,0.004871694,0.0005414902,0.008288201,0.0006306606,0.00006554006,0.003514085,0.0001311781,0.9035693],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6587565,"threshold_uncertainty_score":0.6865063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006469159214067393,"score_gpt":0.2430692423418509,"score_spread":0.2366000831277835,"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."}}