{"id":"W4402039454","doi":"10.1016/j.edumed.2024.100961","title":"Portuguese scientific output in medical education between 2013–2022: From local to global networks","year":2024,"lang":"en","type":"article","venue":"Educación Médica","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portuguese; Computer science; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001395348,0.0002619937,0.0003969569,0.0005987762,0.0001222253,0.0001328781,0.0003760541,0.000416423,0.002954221],"category_scores_gemma":[0.001618536,0.0002466534,0.0001004931,0.003547782,0.0004082663,0.0001810854,0.000133227,0.0009412203,0.001143293],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009346284,"about_ca_system_score_gemma":0.006284021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000866513,"about_ca_topic_score_gemma":0.0001360205,"domain_scores_codex":[0.9962699,0.00009324015,0.0007914265,0.0008744037,0.001394876,0.0005761863],"domain_scores_gemma":[0.9982059,0.0001155692,0.00006395159,0.0006871821,0.0002447483,0.0006826633],"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":[0.00001773477,0.0003650736,0.01681176,0.00004042096,0.00003219227,0.00003452228,0.0003429897,0.000009665639,0.000004988552,0.001127736,0.4531304,0.5280825],"study_design_scores_gemma":[0.0006144835,0.0001517731,0.318795,0.002113789,0.0001554424,0.00008622082,0.001460576,0.007921675,0.00003125165,0.00279766,0.6654117,0.0004604503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8044631,0.00604286,0.01898112,0.1420981,0.02322183,0.0009434568,0.00003942956,0.0003092225,0.003900867],"genre_scores_gemma":[0.9808002,0.00005756006,0.002515882,0.006356421,0.005348593,0.0001573178,0.001259298,0.00004373745,0.00346099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.527622,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449893491051796,"score_gpt":0.3461099034313223,"score_spread":0.3316109685208043,"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."}}