{"id":"W7120815961","doi":"","title":"Severe unemployment in rural Brazil","year":2020,"lang":"pt","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Probit model; Quarter (Canadian coin); Probit; Rural area; Scale (ratio); Econometric model","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":[0.0004557391,0.0008345912,0.0007264558,0.0001931149,0.0006172442,0.0003418921,0.001148462,0.0007538047,0.0009708204],"category_scores_gemma":[0.0002698955,0.0007377376,0.0003175051,0.001668215,0.00004266668,0.0009077069,0.0007909119,0.001186504,0.0004905978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517017,"about_ca_system_score_gemma":0.0003199345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005553141,"about_ca_topic_score_gemma":0.0003699173,"domain_scores_codex":[0.9945733,0.0004538369,0.001116095,0.001165208,0.001382831,0.001308724],"domain_scores_gemma":[0.9977897,0.0001313815,0.0004278498,0.0004455095,0.00009150787,0.001113993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002158595,0.004230133,0.1362886,0.0008565414,0.0007943337,0.003248235,0.04160989,0.005228544,0.05304417,0.5729839,0.1511553,0.02840181],"study_design_scores_gemma":[0.001994523,0.000143083,0.1168315,0.000279491,0.00006358187,0.000448202,0.00153984,0.001177597,0.0009772583,0.0001267335,0.8752736,0.001144611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5399633,0.001139289,0.0004096908,0.3073843,0.002031253,0.002134864,0.000196173,0.0006428594,0.1460982],"genre_scores_gemma":[0.9940373,0.0003455952,0.0007860742,0.001904203,0.0006116953,0.0001305705,0.0002162692,0.00006225587,0.001906052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7241183,"threshold_uncertainty_score":0.9999424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672759592461674,"score_gpt":0.2270238107570651,"score_spread":0.2102962148324484,"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."}}