{"id":"W2803013523","doi":"10.18472/sustdeb.v9n1.2018.28907","title":"Ecosaúde:","year":2018,"lang":"pt","type":"article","venue":"Sustainability in Debate","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Library science; Political science; Computer science","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":["insufficient_payload"],"category_scores_codex":[0.001541999,0.0003097473,0.0003632655,0.000129794,0.0003041426,0.00007344916,0.0004313081,0.0002516261,0.01222993],"category_scores_gemma":[0.001032629,0.0003091349,0.00008471542,0.0008484613,0.0008810457,0.0003758192,0.0005181343,0.0003678414,0.003158369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003359797,"about_ca_system_score_gemma":0.0002042696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003190265,"about_ca_topic_score_gemma":0.008800922,"domain_scores_codex":[0.9964953,0.0002665229,0.0006002706,0.0007266871,0.0003678385,0.001543395],"domain_scores_gemma":[0.9983226,0.0001476567,0.0001329021,0.0008331422,0.0001000373,0.0004636654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004498594,0.001152126,0.7928172,0.001262656,0.00001117666,0.000279479,0.03562321,0.00008814194,0.000158115,0.0003691873,0.06208856,0.1057002],"study_design_scores_gemma":[0.001334792,0.001168379,0.8856253,0.000151257,0.00002417221,0.0000195268,0.01063545,0.003128997,0.0008104359,0.03482461,0.06152438,0.0007526738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632744,0.0002023885,0.00002533944,0.0246777,0.0006292756,0.001079184,0.00003548094,0.00005360616,0.01002258],"genre_scores_gemma":[0.9935821,0.0001488139,0.00003202966,0.001583928,0.0002935987,0.00003422072,0.000007533269,0.00002836537,0.004289465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1049475,"threshold_uncertainty_score":0.9999361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03260374657290249,"score_gpt":0.3420145130192146,"score_spread":0.3094107664463122,"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."}}