{"id":"W4292348547","doi":"10.31686/ijier.vol10.iss8.3754","title":"A School Selfie","year":2022,"lang":"en","type":"article","venue":"International Journal for Innovation Education and Research","topic":"Digital literacy in education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Medical education; Competence (human resources); Selfie; Focus group; European commission; Distance education; Psychology; Pedagogy; Sociology; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001638061,0.0004960816,0.0003271361,0.001363686,0.006043972,0.00353785,0.0006411698,0.001186445,0.0614543],"category_scores_gemma":[0.00328338,0.0003522749,0.0004795822,0.0007675023,0.001699189,0.002591664,0.006167963,0.00199826,0.01059817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002350939,"about_ca_system_score_gemma":0.00390278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00348062,"about_ca_topic_score_gemma":0.011216,"domain_scores_codex":[0.9985254,0.0004227613,0.00008629344,0.0002364786,0.0003619857,0.0003670639],"domain_scores_gemma":[0.9976292,0.0002093266,0.000174756,0.000256925,0.0007022756,0.001027558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002438712,0.002100922,0.06873251,0.0008425436,0.0000421459,0.002585364,0.1804395,0.0001743218,0.006877095,0.08037307,0.2901832,0.3674055],"study_design_scores_gemma":[0.0000176548,0.0002317183,0.01618333,0.0002566566,0.00001046216,0.000496179,0.05286067,0.00007035604,0.0007814461,0.001716371,0.9273494,0.00002575971],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3770436,0.0012623,0.004613939,0.02128474,0.001923433,0.001033176,0.001374032,0.001052056,0.5904128],"genre_scores_gemma":[0.5710515,0.001049847,0.00792868,0.005987608,0.0001276187,0.0004825379,0.0009294993,0.0002526591,0.4121901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0614543,"threshold_uncertainty_score":0.2055851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0738511533474627,"score_gpt":0.4766588464207146,"score_spread":0.4028076930732519,"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."}}