{"id":"W2988822387","doi":"10.1371/journal.pone.0224973","title":"Brazilian norms for the Bank of Standardized Stimuli (BOSS)","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Boss; Normative; Psychology; Set (abstract data type); Population; Social psychology; Cognitive psychology; Sociology; Demography; Political science; Law; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01131591,0.0008747181,0.0007233025,0.003995123,0.001759661,0.001259682,0.001011562,0.0007413145,0.0128637],"category_scores_gemma":[0.03673336,0.0006249981,0.0007436611,0.002761752,0.00163199,0.001018774,0.001922717,0.0008539024,0.003030676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244844,"about_ca_system_score_gemma":0.001986212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008338723,"about_ca_topic_score_gemma":0.02593056,"domain_scores_codex":[0.987951,0.004898598,0.002630161,0.0008494592,0.003233463,0.0004373255],"domain_scores_gemma":[0.9620116,0.009132979,0.002942246,0.006484777,0.01841268,0.001015699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002840949,0.001348145,0.150871,0.003434035,0.0002651296,0.001512764,0.02322669,0.001150375,0.09388192,0.03716671,0.07464194,0.6096603],"study_design_scores_gemma":[0.0002989578,0.001971346,0.5690772,0.001968,0.0001745584,0.004041916,0.01103625,0.002373322,0.01693733,0.01551592,0.3762915,0.0003137315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6267083,0.003100835,0.1246528,0.0022221,0.001468973,0.02011799,0.0310486,0.001579114,0.1891014],"genre_scores_gemma":[0.6599884,0.001859245,0.2580984,0.001132605,0.0003523536,0.04214787,0.01914252,0.00121204,0.01606658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0128637,"threshold_uncertainty_score":0.05984497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2169050478956452,"score_gpt":0.3612724793388546,"score_spread":0.1443674314432094,"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."}}