{"id":"W7064142641","doi":"","title":"Avaliação do reconhecimento facial de expressões emocionais: dados normativos do Gandra-BARTA","year":2022,"lang":"pt","type":"other","venue":"Scientific Electronic Library Online (Scientific Electronic Library Online)","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Line (geometry); Sample (material); Face (sociological concept)","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":[0.01024806,0.0003060749,0.0003842137,0.001324537,0.0007380765,0.001751846,0.0005601427,0.0005015176,0.001574762],"category_scores_gemma":[0.05000395,0.0002621438,0.000702581,0.0009310951,0.001370144,0.000807422,0.001370549,0.000942563,0.0002130734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128072,"about_ca_system_score_gemma":0.0009175163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00534129,"about_ca_topic_score_gemma":0.004546804,"domain_scores_codex":[0.9921687,0.003613426,0.0007840787,0.0008930309,0.002207432,0.0003333775],"domain_scores_gemma":[0.9657188,0.01784831,0.006506596,0.002148577,0.007161441,0.0006163209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008484933,0.0001564338,0.8819273,0.0004925984,0.0003108709,0.0002065962,0.03286448,0.0007606201,0.00510974,0.003280917,0.00117021,0.07287173],"study_design_scores_gemma":[0.0000242495,0.0003432789,0.9768151,0.0001250555,0.0001134586,0.0003750706,0.01316901,0.001640093,0.001525299,0.002233383,0.003577072,0.00005892822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870912,0.000410251,0.004356461,0.0002781616,0.00005026176,0.0001986841,0.0003104425,0.00002582639,0.007278682],"genre_scores_gemma":[0.996758,0.0001234933,0.002276492,0.00004442321,0.00001156036,0.0002179916,0.0001226403,0.000006776104,0.0004386195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01024806,"threshold_uncertainty_score":0.05419761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058983233079338,"score_gpt":0.2372657541087468,"score_spread":0.2266759217779535,"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."}}