{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005495106,0.0002530407,0.0004192536,0.0009118146,0.00007282714,0.00002421831,0.0006192008,0.0006372427,0.02717304],"category_scores_gemma":[0.00008602627,0.0002408119,0.00002802221,0.0003317259,0.000259011,0.00006553075,0.0001705582,0.0001753513,0.0001740323],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004397045,"about_ca_system_score_gemma":0.006373278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9647275,"about_ca_topic_score_gemma":0.9948611,"domain_scores_codex":[0.9978575,0.00009908045,0.0003642945,0.0004617783,0.0002675542,0.0009498423],"domain_scores_gemma":[0.9993401,0.00007712668,0.0001731811,0.0002734135,0.00002531667,0.0001108241],"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":[0.000001257309,0.00001947619,0.002788001,0.00001068871,0.00001354206,0.00009472136,0.0004056384,2.745721e-7,6.752977e-7,0.2525955,0.7433007,0.0007695812],"study_design_scores_gemma":[0.0003192707,0.00000867996,0.00005650895,0.00005079245,0.00000211262,3.385321e-7,0.005838854,4.204328e-7,0.00003063323,0.01726348,0.97611,0.0003189108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001052366,0.0001527812,0.00001329138,0.009933903,0.0005870272,0.0003621158,0.000006987951,0.0001241327,0.9887145],"genre_scores_gemma":[0.002016812,0.0003994573,0.0001492219,0.001738504,0.0001274518,0.0001516369,0.00001562424,0.0001319201,0.9952694],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.235332,"threshold_uncertainty_score":0.9994249,"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."}}