{"id":"W7052518231","doi":"","title":"Shaping the solar Market in Colombia","year":2015,"lang":"en","type":"other","venue":"Bogotá (Banco de la República)","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Context (archaeology); Government (linguistics); Electricity market; Quarter (Canadian coin); Investment (military); Dependency (UML); Electricity generation; Rationing; Mains electricity","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":[0.0005277523,0.0001602557,0.0002017886,0.000537406,0.003859446,0.006107919,0.0004832876,0.0008553821,0.01228699],"category_scores_gemma":[0.001422727,0.0001273169,0.0001344304,0.0006234115,0.001639246,0.001487539,0.002110437,0.001269923,0.0004638656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01089142,"about_ca_system_score_gemma":0.004708064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1959444,"about_ca_topic_score_gemma":0.3420019,"domain_scores_codex":[0.9993358,0.0001363691,0.00001224919,0.00006422813,0.0001418045,0.0003094683],"domain_scores_gemma":[0.9994728,0.00007750677,0.00008074501,0.00002163223,0.0001185292,0.0002287824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004961753,0.0003496047,0.07501376,0.0008560734,0.00003859033,0.006614636,0.06987771,0.003075414,0.00422576,0.5951751,0.08221686,0.1620603],"study_design_scores_gemma":[0.00006740895,0.0000892002,0.1182459,0.0004022169,0.00001545274,0.0004215153,0.1105559,0.001872737,0.000816669,0.01199796,0.7554241,0.00009086761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.472605,0.00318764,0.000433063,0.0113812,0.000254894,0.0001030106,0.0003063301,0.00004915451,0.5116796],"genre_scores_gemma":[0.9769939,0.000879452,0.0001638446,0.0007648568,0.0000407322,0.00001831848,0.00007687813,0.00001813379,0.02104396],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1959444,"threshold_uncertainty_score":0.3896078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008142661740512971,"score_gpt":0.2061705606124362,"score_spread":0.1980278988719232,"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."}}