{"id":"W4243142659","doi":"10.51359/2675-7354.2020.249141","title":"ilustração","year":2020,"lang":"pt","type":"article","venue":"Estudos Universitários","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l’Emploi et de la Solidarité Sociale (Québec)","funders":"","keywords":"Humanities; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002460603,0.0004233106,0.0004658783,0.0002079986,0.0004484801,0.000165572,0.002290341,0.0002808477,0.0002585395],"category_scores_gemma":[0.0001844393,0.0005160283,0.0002075392,0.001539551,0.0001096166,0.0007267961,0.001208026,0.0008284489,0.003050937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004214521,"about_ca_system_score_gemma":0.001148322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001912319,"about_ca_topic_score_gemma":0.00003151788,"domain_scores_codex":[0.9966157,0.0002959332,0.0003867811,0.001136015,0.0006787562,0.0008868117],"domain_scores_gemma":[0.9974504,0.0002086,0.0002015391,0.0008208875,0.000175033,0.001143592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006113768,0.001124706,0.1344503,0.003448636,0.001364575,0.01826362,0.4002427,0.00548036,0.003979559,0.05054122,0.2622828,0.1182101],"study_design_scores_gemma":[0.008855972,0.00303413,0.06456552,0.0008040855,0.0003899692,0.0002110593,0.01493146,0.3509264,0.001434602,0.000187306,0.5504421,0.004217376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3899399,0.001696467,0.3517548,0.229359,0.004221177,0.002720801,0.000127651,0.003052217,0.01712793],"genre_scores_gemma":[0.9849464,0.00009019635,0.001173597,0.01015533,0.0003903086,0.000001617256,0.000004249737,0.00003625685,0.003202063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5950065,"threshold_uncertainty_score":0.9997292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06134362025195914,"score_gpt":0.2741598272085073,"score_spread":0.2128162069565482,"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."}}