{"id":"W3173732943","doi":"10.18617/liinc.v17i1.5711","title":"O nascimento do saber infodemiológico","year":2021,"lang":"pt","type":"article","venue":"Liinc em Revista","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Humanities; Political science; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008964818,0.0006093633,0.001305455,0.0001227485,0.0001789382,0.0004487364,0.0005160274,0.0002845807,0.01377949],"category_scores_gemma":[0.002100304,0.0006079013,0.0005062149,0.0009483591,0.0001504382,0.0002846907,0.0007082773,0.00065005,0.007746752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003551765,"about_ca_system_score_gemma":0.0008061686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004112952,"about_ca_topic_score_gemma":0.00005367028,"domain_scores_codex":[0.9951279,0.0005624928,0.00115989,0.001240953,0.0009409395,0.0009678343],"domain_scores_gemma":[0.9950153,0.0003215344,0.0003843823,0.002841071,0.0005437307,0.0008940086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003716369,0.001095037,0.1664964,0.003629499,0.001117706,0.003698555,0.001387462,0.00001088554,0.001520278,0.008429676,0.7845769,0.02766601],"study_design_scores_gemma":[0.00213804,0.0001233924,0.07734369,0.002228239,0.0005340654,0.00009989433,0.0006778581,0.0001644462,0.0002528219,0.0000956805,0.915648,0.000693898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3938304,0.3796533,0.0007568715,0.008488705,0.005716056,0.003372838,0.005941498,0.001224647,0.2010157],"genre_scores_gemma":[0.799799,0.004266478,0.0007618754,0.008869186,0.002261087,0.00007294797,0.003196639,0.0002356893,0.1805371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4059685,"threshold_uncertainty_score":0.9996372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804611513749748,"score_gpt":0.29856169450231,"score_spread":0.2805155793648125,"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."}}