{"id":"W4390267989","doi":"10.51161/conaisa2023/27521","title":"ABUSO DE ÁLCOOL EM ADOLESCENTES: PREVENÇÃO E CONSEQUÊNCIAS - UMA REVISÃO BIBLIOGRÁFICA","year":2023,"lang":"pt","type":"article","venue":"","topic":"Youth, Drugs, and Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Psychology; Computer science","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":[0.002836589,0.000470465,0.0005988834,0.001380199,0.001127291,0.0005434698,0.001230798,0.0004645278,0.003094735],"category_scores_gemma":[0.0009309805,0.0004542325,0.0004306478,0.01103496,0.0006212021,0.0004369982,0.00027439,0.0005469039,0.008637229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915188,"about_ca_system_score_gemma":0.001031571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001852458,"about_ca_topic_score_gemma":0.003163434,"domain_scores_codex":[0.994665,0.000830473,0.0007656335,0.0009163916,0.00107054,0.00175201],"domain_scores_gemma":[0.9974781,0.0005224859,0.0002980353,0.0006989433,0.0002717101,0.0007307437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001224494,0.0005746591,0.06475818,0.0007393856,0.0001859427,0.0002434391,0.1448354,0.00003339958,0.0003560501,0.006545081,0.7164701,0.06513588],"study_design_scores_gemma":[0.003102337,0.0007496559,0.1460329,0.007473947,0.0006132908,0.00003861109,0.5735403,0.006641847,0.0009299691,0.004481866,0.2524878,0.003907484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8619567,0.007138686,0.001780494,0.0132901,0.005584461,0.003649678,0.0004728692,0.003669478,0.1024575],"genre_scores_gemma":[0.8911172,0.02100115,0.0001215698,0.001717343,0.001073814,0.00004211848,0.000021736,0.00006702323,0.08483803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4639823,"threshold_uncertainty_score":0.999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07441112519083369,"score_gpt":0.3632391569823524,"score_spread":0.2888280317915187,"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."}}