{"id":"W3048597910","doi":"10.1126/science.369.6505.753","title":"For science in Latin America, ‘a fascinating challenge’","year":2020,"lang":"en","type":"article","venue":"Science","topic":"Scientific Research and Technology","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Pandemic; Latin Americans; Worry; Coronavirus disease 2019 (COVID-19); Gross domestic product; Investment (military); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Political science; Development economics; Economic growth; Economics; Psychology; Medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007590362,0.0007133645,0.0007645622,0.001185952,0.005182222,0.007192507,0.001182057,0.006669001,0.03173112],"category_scores_gemma":[0.01471051,0.0002844298,0.0007773089,0.001983117,0.01004923,0.008967778,0.004183235,0.009197712,0.005197155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004999848,"about_ca_system_score_gemma":0.01626953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933724,"about_ca_topic_score_gemma":0.02335261,"domain_scores_codex":[0.9967819,0.001387746,0.0001154533,0.0003513551,0.0005888406,0.0007745672],"domain_scores_gemma":[0.9918606,0.002754922,0.0008012587,0.0009728597,0.001925448,0.001684956],"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":[0.0001863409,0.00007332868,0.004016182,0.0008407435,0.0001113558,0.0004414755,0.002133789,0.0002264429,0.001985191,0.3910245,0.5040841,0.09487669],"study_design_scores_gemma":[0.00002401589,0.00003729778,0.002704785,0.0005352659,0.00001363668,0.0002577573,0.001734971,0.00005901251,0.0002748547,0.06556398,0.9287594,0.00003500048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003098274,0.03830542,0.001834183,0.8833429,0.009593521,0.0000176184,0.0004831757,0.0001441604,0.06318073],"genre_scores_gemma":[0.2142898,0.08158163,0.01593476,0.6031142,0.01884819,0.000174091,0.00162766,0.000478555,0.06395113],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9948178,"threshold_uncertainty_score":0.1061512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06454833506385797,"score_gpt":0.3316544228748839,"score_spread":0.267106087811026,"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."}}