{"id":"W3028596480","doi":"10.26685/urncst.185","title":"DeSCIpher Undergraduate Sciences Competition: Nurturing Interdisciplinary Collaboration","year":2020,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"","keywords":"Competition (biology); Engineering ethics; Focus (optics); Undergraduate research; Sociology; Political science; Engineering; Medical education; Medicine; Biology; Ecology","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":["sts","scholarly_communication","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.0230068,0.0002454314,0.0004992456,0.002009179,0.003782131,0.002533156,0.001892437,0.0002498118,0.00004413942],"category_scores_gemma":[0.007338732,0.00016234,0.00007882404,0.01547328,0.009793757,0.002429487,0.002715081,0.002778866,0.0001102604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002606794,"about_ca_system_score_gemma":0.001501156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006425184,"about_ca_topic_score_gemma":0.0002953633,"domain_scores_codex":[0.9911786,0.001038938,0.001315574,0.001294073,0.00400607,0.001166731],"domain_scores_gemma":[0.9937413,0.001817059,0.0003249091,0.0003223811,0.003018514,0.0007758574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001516311,0.0007700011,0.1770709,0.00007401023,0.00009635614,0.001156605,0.001408977,0.0001459939,0.01221399,0.4482779,0.02026128,0.3370077],"study_design_scores_gemma":[0.001506644,0.003030681,0.009306639,0.0001733998,0.00000888687,0.0003965052,0.01971153,0.03591171,0.0005550164,0.9267088,0.0023319,0.0003582487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5240262,0.0009240463,0.0002110944,0.4716198,0.0003875748,0.0002911816,0.000003392478,0.00003960077,0.002497086],"genre_scores_gemma":[0.9974089,0.0008880416,0.0007175503,0.0002868907,0.0003351678,0.00001207912,0.000001204214,0.000009331627,0.0003408587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.478431,"threshold_uncertainty_score":0.9995218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1631129186464027,"score_gpt":0.510046104739097,"score_spread":0.3469331860926943,"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."}}