{"id":"W2910774438","doi":"","title":"O caso Bombardier e Embraer: os passos para uma solução integrativa","year":2018,"lang":"pt","type":"article","venue":"Fronteira: revista de iniciação científica em Relações Internacionais","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Philosophy","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":[0.001606851,0.000473659,0.0005929538,0.0006764383,0.001110097,0.002523752,0.0007721665,0.00134791,0.00364992],"category_scores_gemma":[0.001428045,0.0002702683,0.0004687673,0.0006674159,0.00152201,0.001060048,0.001366231,0.0009362997,0.0005346567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002157096,"about_ca_system_score_gemma":0.001428442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418184,"about_ca_topic_score_gemma":0.02710236,"domain_scores_codex":[0.9985815,0.0002485138,0.00005850862,0.000204954,0.0006584678,0.0002479889],"domain_scores_gemma":[0.9989154,0.0004197904,0.0002506587,0.0001096706,0.0002151727,0.00008925598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.001156464,0.0002225912,0.01688098,0.00219701,0.0001434347,0.003014962,0.004887821,0.0009283675,0.8459268,0.005751717,0.002176026,0.1167139],"study_design_scores_gemma":[0.00007146614,0.004230594,0.06698863,0.0006327918,0.0004902551,0.006156817,0.01808765,0.0030167,0.5770063,0.00301185,0.3201725,0.0001345099],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9146274,0.03579168,0.008037043,0.004417424,0.0003465133,0.0002170569,0.0001972511,0.0001405216,0.03622505],"genre_scores_gemma":[0.9704348,0.01168523,0.004608281,0.0005515295,0.00006630253,0.000037613,0.000110958,0.00003469453,0.01247065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01418184,"threshold_uncertainty_score":0.0281986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03872272146758762,"score_gpt":0.2774252586991276,"score_spread":0.23870253723154,"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."}}