{"id":"W2890430366","doi":"10.26685/urncst.109","title":"The 1st URNCST Journal Research Abstract Competition: Undergraduate Discoveries in Science and Technology","year":2018,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; York University; McMaster University; McGill University","keywords":"Competition (biology); Undergraduate research; Index (typography); Library science; Medical education; Psychology; Computer science; Medicine; World Wide Web; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02154589,0.001675045,0.002912603,0.004755753,0.006147297,0.02758284,0.003691481,0.006473295,0.4478373],"category_scores_gemma":[0.03484259,0.0009249146,0.002048817,0.00352639,0.001965317,0.006144446,0.01272249,0.005314867,0.3181174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006438163,"about_ca_system_score_gemma":0.01614568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002431595,"about_ca_topic_score_gemma":0.009733756,"domain_scores_codex":[0.9794516,0.002042713,0.001047713,0.001855242,0.01219832,0.003404392],"domain_scores_gemma":[0.900054,0.005035955,0.003771454,0.004438103,0.02501788,0.06168263],"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":[0.0001661282,0.0001273253,0.0002714148,0.0001913134,0.000009654772,0.00008239547,0.00007780852,0.00006170218,0.0009996145,0.002931541,0.9775622,0.01751893],"study_design_scores_gemma":[0.00008058663,0.0001929219,0.001751838,0.0001024062,0.000008124421,0.00008938026,0.0001334924,0.0001798039,0.0007813772,0.001649485,0.994987,0.00004357006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0120368,0.01050883,0.009452547,0.09040584,0.2243364,0.002250743,0.02170882,0.01022174,0.6190782],"genre_scores_gemma":[0.02410017,0.002497828,0.004358811,0.00965049,0.02975501,0.0008631228,0.009569135,0.005613722,0.9135917],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4478373,"threshold_uncertainty_score":0.7875931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05112182206884668,"score_gpt":0.4178805292310502,"score_spread":0.3667587071622035,"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."}}