{"id":"W6981735734","doi":"","title":"Export-led recoveries in small open industrialized economies","year":2014,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; Diafiltration; TSG101; Hyporeflexia; Liquation; Fusible alloy; Proteogenomics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002355623,0.0001831926,0.0003841658,0.0002211915,0.0001136069,0.0005041988,0.001455949,0.00007709541,0.0001728463],"category_scores_gemma":[0.00009899317,0.0001764099,0.00005530358,0.0006471644,0.0001566249,0.003539137,0.0005607159,0.0001887372,0.00005317273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002622655,"about_ca_system_score_gemma":0.000306813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004658983,"about_ca_topic_score_gemma":0.00007190328,"domain_scores_codex":[0.9985551,0.0001772529,0.0003888751,0.0005011142,0.00006148931,0.0003162172],"domain_scores_gemma":[0.9989719,0.0001202432,0.0002655626,0.0005179836,0.00001693246,0.0001074047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004273419,0.00004718711,0.1051649,0.000009647139,0.00001969161,0.000009768635,0.0003241593,0.00002997748,0.00006332926,0.01423134,0.007211777,0.8728455],"study_design_scores_gemma":[0.01356916,0.001705363,0.4086788,0.0005425678,0.00005414845,0.0001986288,0.001407783,0.05331847,0.04258574,0.1598301,0.3135816,0.004527559],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8771504,0.0001418015,0.06201141,0.006931635,0.001850301,0.0004542232,0.000004522282,0.0005210489,0.05093465],"genre_scores_gemma":[0.7984932,0.00008986875,0.193108,0.002490046,0.0002845903,0.00009527866,0.00001751272,0.00004263717,0.005378888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8683179,"threshold_uncertainty_score":0.7193787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666122700115783,"score_gpt":0.2224028942545134,"score_spread":0.2057416672533555,"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."}}