{"id":"W1972580315","doi":"10.5380/geografar.v3i1.12908","title":"A INFRA-ESTRUTURA RODOVIÁRIA NO PARANÁ E O TRÁFEGO NAS RODOVIAS PEDAGIADAS - 2000-2006","year":2008,"lang":"pt","type":"article","venue":"Revista Geografar","topic":"Logistics and Infrastructure Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056897,0.0002140291,0.0001630391,0.0007569034,0.00152028,0.002123689,0.0005436697,0.0005377277,0.00813501],"category_scores_gemma":[0.001474135,0.0003874789,0.000317768,0.002681209,0.001253056,0.001245777,0.002712037,0.0009567318,0.0008050185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004104406,"about_ca_system_score_gemma":0.007048457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3214923,"about_ca_topic_score_gemma":0.5407327,"domain_scores_codex":[0.9994905,0.00007320507,0.0000211911,0.00009247186,0.0001462266,0.0001764287],"domain_scores_gemma":[0.9992163,0.00009225863,0.0002524544,0.0001107499,0.0001892698,0.0001390198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005344293,0.00009472913,0.6538777,0.001014764,0.0001804071,0.003832961,0.06146197,0.003616866,0.01122141,0.07432339,0.01870633,0.171135],"study_design_scores_gemma":[0.000009264144,0.00007224573,0.7586981,0.0002588394,0.0000444181,0.0006209287,0.04159376,0.001008183,0.001035942,0.001607265,0.1950093,0.00004172487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246934,0.001282573,0.002389457,0.002551825,0.00004217628,0.00007284469,0.004235404,0.00009177317,0.06464045],"genre_scores_gemma":[0.9680501,0.001364179,0.001909167,0.0001492504,0.000007466081,0.00005271715,0.001328937,0.00003895919,0.02709915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3214923,"threshold_uncertainty_score":0.6392421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264482156135757,"score_gpt":0.2301045399657407,"score_spread":0.2074597184043832,"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."}}