{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02769916,0.0006106092,0.0007958637,0.001579304,0.008442325,0.0228289,0.002780515,0.006268183,0.01292839],"category_scores_gemma":[0.0677247,0.000373755,0.0006944666,0.001406502,0.006690468,0.009083548,0.0128626,0.01262872,0.003174025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00637341,"about_ca_system_score_gemma":0.03196393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003364861,"about_ca_topic_score_gemma":0.02140165,"domain_scores_codex":[0.9732317,0.01165729,0.001307357,0.001064994,0.0092289,0.003509723],"domain_scores_gemma":[0.8716661,0.03779724,0.004764984,0.00230055,0.01906018,0.06441088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007239217,0.0001014578,0.001044795,0.0003319345,0.0000196911,0.0003035216,0.002032066,0.0001540602,0.0002071713,0.04993772,0.8690061,0.07678899],"study_design_scores_gemma":[0.00002585269,0.00006688823,0.0007729005,0.0003022257,0.000009281594,0.0001569833,0.002344583,0.0001942608,0.0002270601,0.01022241,0.9856364,0.00004136038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.008792679,0.01863019,0.005023615,0.756241,0.1617655,0.0001140263,0.00008038542,0.0002414574,0.04911121],"genre_scores_gemma":[0.2670895,0.05881357,0.01737871,0.33103,0.1975025,0.0004155578,0.0004839195,0.001006165,0.12628],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02769916,"threshold_uncertainty_score":0.1464889,"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."}}