{"id":"W3011247399","doi":"10.26685/urncst.184","title":"Scinapse 2019-2020 Undergraduate Science Case Competition: Augmented Biology","year":2020,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Competition (biology); Undergraduate research; Field (mathematics); Key (lock); Health science; Test (biology); Engineering ethics; Data science; Medical education; Undergraduate education; Computer science; Psychology; Medicine; Engineering; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01134678,0.000730258,0.0004906817,0.001155147,0.003951028,0.005253172,0.002150031,0.003705797,0.09135245],"category_scores_gemma":[0.01247916,0.0003279424,0.0009298184,0.0007637799,0.001785053,0.001695827,0.009870367,0.003149067,0.01948234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005651928,"about_ca_system_score_gemma":0.01094114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004087002,"about_ca_topic_score_gemma":0.02002866,"domain_scores_codex":[0.9951819,0.001290787,0.0001777748,0.0003091233,0.001693409,0.001346954],"domain_scores_gemma":[0.9812182,0.001890176,0.0004617666,0.0005135046,0.003649509,0.01226691],"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":[0.000260482,0.0005584147,0.001591516,0.0002483513,0.00001138169,0.001948847,0.001809997,0.0006408442,0.002262106,0.0123675,0.9241862,0.0541143],"study_design_scores_gemma":[0.00006716495,0.0003203219,0.002144813,0.0001306362,0.000003921018,0.001057776,0.002733875,0.0006652892,0.0009061866,0.004100507,0.9878393,0.00003018301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1712254,0.004420408,0.02607737,0.1911187,0.08601281,0.006793027,0.006466293,0.002045964,0.50584],"genre_scores_gemma":[0.3321786,0.002663753,0.02973958,0.02832333,0.009808591,0.005526912,0.006373624,0.001004043,0.5843816],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09135245,"threshold_uncertainty_score":0.3056044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094674474273531,"score_gpt":0.3745796528801738,"score_spread":0.3336329081374385,"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."}}