{"id":"W4308875491","doi":"10.3389/fbioe.2022.1046723","title":"The BioExperience Research and Entrepreneurship Challenge: An iGEM-inspired applied research program for BIOSTEM talent and skills development","year":2022,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Faculty of Health Sciences, University of Ottawa; University of Ottawa","keywords":"Experiential learning; Preparedness; Medical education; Entrepreneurship; Psychology; Competition (biology); Work (physics); Pedagogy; Political science; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001122729,0.0001598516,0.000171753,0.0005752266,0.0004769755,0.00006475089,0.000265395,0.0002082532,9.152641e-7],"category_scores_gemma":[0.00004923847,0.0001385372,0.00001031698,0.0006451596,0.0004853048,0.00004191242,0.0002337284,0.0006583515,2.936027e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438131,"about_ca_system_score_gemma":0.00002476606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007106185,"about_ca_topic_score_gemma":0.000007459769,"domain_scores_codex":[0.9984589,0.00003289026,0.0002184518,0.0004052837,0.000233704,0.0006508354],"domain_scores_gemma":[0.999489,0.00010443,0.00001308726,0.000243601,0.00002951471,0.0001203398],"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":[0.00004306182,0.0002070332,0.0006046428,0.0004842385,0.00004684318,0.000005467945,0.002993825,0.0003858273,0.00863101,0.003529192,0.0008495083,0.9822193],"study_design_scores_gemma":[0.002330744,0.002840034,0.008986902,0.0002056152,0.00001522567,0.0001037277,0.02604635,0.1558293,0.04586293,0.003974701,0.7523501,0.001454365],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804775,0.01206752,0.002954934,0.002027306,0.0008359979,0.001035144,0.00000971944,0.0005616122,0.00003026753],"genre_scores_gemma":[0.9847398,0.002532568,0.01109415,0.000004551091,0.00004858883,0.001497885,0.00001465371,0.00003179648,0.00003604298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.980765,"threshold_uncertainty_score":0.5649384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315739951185677,"score_gpt":0.2996642479942383,"score_spread":0.2680902528756706,"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."}}