{"id":"W6911184830","doi":"10.5281/zenodo.11167846","title":"Como as redes sociais influenciam a tomada de decisões sobre saúde: um estudo sobre letramento informacional em saúde e comunicação","year":2023,"lang":"pt","type":"dissertation","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Digital literacy; Work (physics); Literacy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006132277,0.0005315203,0.0005362089,0.003871616,0.007617817,0.01421664,0.001271042,0.002665211,0.0105723],"category_scores_gemma":[0.01411003,0.0004729049,0.0006040625,0.004821449,0.009616138,0.0112384,0.008720353,0.002940488,0.001526058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006755092,"about_ca_system_score_gemma":0.008707272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01618173,"about_ca_topic_score_gemma":0.01751044,"domain_scores_codex":[0.9923398,0.004937735,0.0002715296,0.0007753179,0.001105855,0.0005697307],"domain_scores_gemma":[0.9869189,0.007906317,0.001655415,0.0008774928,0.001545966,0.001095996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008645662,0.0002127018,0.04872969,0.00069857,0.00006535904,0.0008188882,0.6809384,0.0003183476,0.0007896541,0.1829743,0.005103145,0.07926444],"study_design_scores_gemma":[0.00002507595,0.0001564385,0.03554547,0.001570848,0.0001190164,0.0007196056,0.7136735,0.0007784351,0.0005791506,0.03696684,0.2097993,0.00006626979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.691484,0.01041021,0.007982998,0.02540201,0.0003765594,0.000157491,0.0004137896,0.0001033412,0.2636696],"genre_scores_gemma":[0.9894847,0.003294181,0.001329932,0.0006229241,0.00006202946,0.00005836144,0.00006650869,0.00002176418,0.005059529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01618173,"threshold_uncertainty_score":0.04901189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05860564142398925,"score_gpt":0.3340372771489284,"score_spread":0.2754316357249392,"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."}}