{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007044137,0.0004218324,0.0004500399,0.0007214944,0.0004785041,0.0009589965,0.0005756502,0.0006075421,0.001877591],"category_scores_gemma":[0.003973796,0.0002250875,0.0005896363,0.0008085002,0.000937646,0.0007554992,0.00102558,0.0007161669,0.0001269796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002034042,"about_ca_system_score_gemma":0.001033097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1278263,"about_ca_topic_score_gemma":0.08362585,"domain_scores_codex":[0.9998059,0.00002072269,0.00001160158,0.00003513835,0.00005203938,0.00007469454],"domain_scores_gemma":[0.9990485,0.000294131,0.0003666334,0.00009049611,0.0001226212,0.00007760114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001471762,0.0003249604,0.2197945,0.0002494282,0.0002910692,0.003097972,0.001117249,0.6861351,0.006044879,0.02395856,0.003112996,0.05440152],"study_design_scores_gemma":[0.0001774671,0.0004816196,0.4189392,0.00007867705,0.000197315,0.0004798961,0.002982438,0.5292602,0.007142781,0.03361062,0.00649049,0.0001593141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951497,0.0001680004,0.002305687,0.000179325,0.000006099454,0.0000148594,0.0002799445,0.00006067178,0.001835856],"genre_scores_gemma":[0.9987383,0.0001297003,0.0002081267,0.00001226834,0.000002113673,0.000003426893,0.0002256815,0.000004569725,0.0006756888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1278263,"threshold_uncertainty_score":0.2541646,"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."}}