{"id":"W6995555343","doi":"","title":"Ocupações e rendas das famílias rurais e agrícolas no estado do Paraná","year":2011,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Rural area; Quarter (Canadian coin); Order (exchange)","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":[0.0004522223,0.0001594924,0.0001729143,0.000694021,0.0006887328,0.0005929142,0.0002509874,0.0001670803,0.001940615],"category_scores_gemma":[0.001358779,0.0001730093,0.0001709231,0.001448624,0.0004801496,0.0003662507,0.0006735662,0.0002634824,0.0001821744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048212,"about_ca_system_score_gemma":0.001444801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1246302,"about_ca_topic_score_gemma":0.3134535,"domain_scores_codex":[0.9996828,0.00008639683,0.00001121288,0.00007707538,0.00007682161,0.00006573526],"domain_scores_gemma":[0.9990045,0.000210854,0.0003020846,0.000111251,0.0002679794,0.0001033299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000130426,0.00003629742,0.9108497,0.0001476786,0.00004831533,0.0005127843,0.01836711,0.0002129139,0.01734788,0.0003909888,0.0002221011,0.05173383],"study_design_scores_gemma":[0.000001202697,0.00006279822,0.988857,0.00001954348,0.00001664744,0.000176186,0.007929859,0.0001000794,0.0005876079,0.00005410974,0.002189985,0.000005041436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972606,0.0001422571,0.0002360471,0.00003789204,0.00000154216,0.000009984828,0.0002367521,0.000006544638,0.002068422],"genre_scores_gemma":[0.9974776,0.0003774204,0.0006636276,0.00001176761,0.000001024988,0.00001351397,0.0001151007,0.000002714754,0.001337239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1246302,"threshold_uncertainty_score":0.2478096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206439893672323,"score_gpt":0.2013324409649537,"score_spread":0.1892680420282304,"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."}}