{"id":"W7038582490","doi":"","title":"Infrastructure in Latin America : An
\\n Update, 1980-2006","year":2012,"lang":"en","type":"other","venue":"The World Bank Open Knowledge Repository (World Bank)","topic":"Thermal Regulation in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Investment (military); Transport infrastructure; Quarter (Canadian coin); Critical infrastructure; Transportation infrastructure","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":[0.0009026797,0.0008204225,0.000476941,0.01387147,0.0005779438,0.002479337,0.0009914619,0.0005636211,0.009341599],"category_scores_gemma":[0.003406753,0.0004067603,0.0004374637,0.03830279,0.0004789828,0.003019504,0.001731199,0.0008878371,0.002866936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006318471,"about_ca_system_score_gemma":0.007829972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2499741,"about_ca_topic_score_gemma":0.3404895,"domain_scores_codex":[0.9992095,0.00009136963,0.0001584744,0.0001123546,0.0003291285,0.00009914456],"domain_scores_gemma":[0.9965816,0.0004445448,0.0009452457,0.0001437781,0.001731617,0.0001532204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001030153,0.00009855675,0.09278142,0.005591237,0.00009251409,0.0003347269,0.002402927,0.001874093,0.0004374224,0.005906819,0.432435,0.4579422],"study_design_scores_gemma":[0.000005065454,0.00001171979,0.09350859,0.001147052,0.00003447305,0.0001303296,0.0009499305,0.0001274715,0.0002379369,0.0003171011,0.9035118,0.00001852025],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.04215605,0.1646311,0.002918599,0.01307989,0.001766697,0.0002138948,0.4950422,0.001078256,0.2791133],"genre_scores_gemma":[0.1521229,0.3443588,0.01464074,0.003777493,0.001318676,0.0006167205,0.3880294,0.0004118039,0.09472349],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2499741,"threshold_uncertainty_score":0.4970381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368241186469067,"score_gpt":0.2990973581560155,"score_spread":0.2854149462913249,"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."}}