{"id":"W4392592216","doi":"10.3389/fsybi.2024.1337860","title":"Bridging the gap: enhancing science communication in synthetic biology with specific teaching modules, school laboratories, performance and theater","year":2024,"lang":"en","type":"article","venue":"Frontiers in Synthetic Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Technische Universität Berlin; Brandenburger Staatsministerium für Wissenschaft, Forschung und Kultur; Deutsche Forschungsgemeinschaft","keywords":"Bridging (networking); Mathematics education; Computer science; Biology; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001681814,0.0002266641,0.0002825726,0.0002911495,0.0002520391,0.0000782434,0.0005177897,0.0001810651,0.000006983299],"category_scores_gemma":[0.00008907949,0.0001572583,0.00003634577,0.0005273221,0.001283788,0.00001916821,0.0002423082,0.000396286,0.000003604071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038871,"about_ca_system_score_gemma":0.0001546025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004930973,"about_ca_topic_score_gemma":0.0001031223,"domain_scores_codex":[0.9980711,0.0003343118,0.0003260561,0.0006937428,0.00008816705,0.0004866357],"domain_scores_gemma":[0.9990076,0.00004554764,0.00007238947,0.0007587075,0.00004805532,0.00006767677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001630544,0.00007681397,0.3761659,0.0001034746,0.0001757183,0.000009023067,0.001033655,0.001444144,0.4539811,0.003367591,0.0008771872,0.1626023],"study_design_scores_gemma":[0.003496064,0.001852276,0.1125207,0.003343119,0.0004357651,0.0007621226,0.007880973,0.1529506,0.4240146,0.009121316,0.2790865,0.004536005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963205,0.02186072,0.01353919,0.0005069943,0.0003229474,0.0002125495,0.000006466531,0.00002127771,0.0003248047],"genre_scores_gemma":[0.9928115,0.002606933,0.004251522,0.0000722282,0.0001062265,0.00004846847,0.00002395627,0.00002606043,0.00005307426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2782093,"threshold_uncertainty_score":0.6412809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005591410131697582,"score_gpt":0.2237138795227916,"score_spread":0.218122469391094,"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."}}