{"id":"W6999733049","doi":"","title":"Detalhamento areal da sub-bacia 63 na região hidrográfica do Rio Paraná","year":2016,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova (rocket); Nova scotia; West indies; Qualitative analysis","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001662943,0.000999894,0.0009088294,0.000184434,0.0007317299,0.0001477716,0.001296247,0.0002427414,0.01934231],"category_scores_gemma":[0.00003209102,0.0007737221,0.0006116143,0.001254431,0.003359223,0.001996694,0.001394406,0.0003583828,0.007174893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002865501,"about_ca_system_score_gemma":0.000038415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008423358,"about_ca_topic_score_gemma":0.0001193218,"domain_scores_codex":[0.9943324,0.0002915011,0.0008413569,0.00173138,0.00107058,0.001732822],"domain_scores_gemma":[0.9970248,0.000249397,0.0005353356,0.001305547,0.000005290833,0.0008796277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001180982,0.0003726381,0.7751709,0.0000162292,0.0002432686,0.0001266669,0.0004279935,0.00001643326,0.002154634,0.0001277371,0.05896909,0.1622563],"study_design_scores_gemma":[0.001070932,0.0006991143,0.9021916,0.000129476,0.0001391221,0.00001793084,0.0008296077,0.0000144321,0.002796341,0.0003713759,0.0905387,0.00120138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670022,0.003842909,0.0002702506,0.007184724,0.0007659931,0.0007535765,0.0003147731,0.0003011595,0.01956439],"genre_scores_gemma":[0.978615,0.007859055,0.0005300095,0.00158677,0.0002176214,0.0001281655,0.00003534544,0.0001399331,0.01088804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.161055,"threshold_uncertainty_score":0.9994714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008215949312107661,"score_gpt":0.1862791930549986,"score_spread":0.1780632437428909,"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."}}