{"id":"W7054912856","doi":"","title":"Asia y América Latina: aspiraciones comunes","year":2017,"lang":"es","type":"article","venue":"Americanae (AECID Library)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Latin Americans; East Asia; Power (physics); Quarter (Canadian coin)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005790234,0.0004663379,0.0005533917,0.0001454421,0.0008286854,0.0005159158,0.001353874,0.0001529564,0.0006213148],"category_scores_gemma":[0.00005721081,0.0004735024,0.0002110021,0.0003258313,0.0004652941,0.001681053,0.0003392058,0.0003549517,0.001457606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003128343,"about_ca_system_score_gemma":0.00008482229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005891685,"about_ca_topic_score_gemma":0.000007296692,"domain_scores_codex":[0.9981058,0.00005909023,0.0004552977,0.0005153884,0.0002704222,0.0005939575],"domain_scores_gemma":[0.9972267,0.0001392905,0.0003572466,0.001915245,0.00003107752,0.0003304619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004191355,0.000345614,0.2519898,0.000251478,0.0005343973,0.0001407505,0.0002836268,0.0006751012,0.003607369,0.102798,0.4253236,0.2140083],"study_design_scores_gemma":[0.0003611218,0.00009934742,0.5612386,0.00009714864,0.00008679672,0.000005932566,0.0000783152,0.002698058,0.003514841,0.0006690744,0.43049,0.0006606661],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2754445,0.001477801,0.004217286,0.04573955,0.001585182,0.001352813,0.0005599766,0.002463086,0.6671598],"genre_scores_gemma":[0.9832152,0.002835963,0.005084879,0.0004480828,0.0006197946,0.0001105534,0.00007677524,0.000180663,0.007428063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7077707,"threshold_uncertainty_score":0.9997717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357002370866476,"score_gpt":0.235198352359128,"score_spread":0.2216283286504633,"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."}}