{"id":"W4412456718","doi":"10.54393/fbt.v5i2.176","title":"STEM Education Unites a Divided World","year":2025,"lang":"en","type":"article","venue":"Futuristic Biotechnology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Political 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":[0.004775245,0.0008512152,0.001093758,0.003870222,0.01097904,0.0208749,0.001494234,0.00346239,0.02656385],"category_scores_gemma":[0.007257409,0.0004310774,0.0006594493,0.001801703,0.02035348,0.02497516,0.03492419,0.006683873,0.006952563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004678602,"about_ca_system_score_gemma":0.006933307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098143,"about_ca_topic_score_gemma":0.00186905,"domain_scores_codex":[0.9956103,0.001372609,0.0002077893,0.0008154567,0.001160524,0.0008333502],"domain_scores_gemma":[0.9938719,0.001400198,0.0004745582,0.0007637693,0.000709585,0.002779996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001362853,0.0003350565,0.004938936,0.000542104,0.00008601581,0.0005696557,0.03282851,0.0006915613,0.001279776,0.7147365,0.07490391,0.1689518],"study_design_scores_gemma":[0.00004232771,0.0001633441,0.002463629,0.0008662289,0.00002747338,0.0002704339,0.02118954,0.0003506489,0.0003285668,0.3280243,0.6462349,0.00003870505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.1113977,0.02074124,0.02596388,0.2353458,0.006947656,0.0004394113,0.0003754363,0.000724357,0.5980644],"genre_scores_gemma":[0.7740875,0.01522802,0.01485966,0.07703272,0.004575771,0.0006722716,0.0007665826,0.0006771697,0.1121003],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02656385,"threshold_uncertainty_score":0.08886492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039220150754043,"score_gpt":0.277635799583196,"score_spread":0.2672435980756556,"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."}}