{"id":"W4324139158","doi":"10.26685/urncst.469","title":"SciNapse 2022-2023 Undergraduate Science Case Competition: Neuroscience and The Future","year":2023,"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":"University of Ottawa","funders":"University of Ottawa","keywords":"Competition (biology); Undergraduate education; Psychology; Undergraduate research; Test (biology); Engineering ethics; Medical education; Engineering; Ecology; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":["sts"],"category_scores_codex":[0.01781648,0.0001915577,0.0002763948,0.001134361,0.002765818,0.0006187009,0.001103444,0.0002473589,0.000002786675],"category_scores_gemma":[0.004351862,0.0001127224,0.00005533841,0.005758008,0.03272462,0.00008582452,0.002030907,0.002007137,0.00001345101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005907767,"about_ca_system_score_gemma":0.001011064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003124205,"about_ca_topic_score_gemma":0.0002741622,"domain_scores_codex":[0.9954728,0.0002934738,0.0005823232,0.0007732002,0.001618371,0.001259761],"domain_scores_gemma":[0.9976655,0.0003364111,0.0001265517,0.0003822424,0.0008856679,0.0006036166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00100836,0.0005125598,0.04446778,0.000236891,0.00008882301,0.004047572,0.0002439265,0.00001224219,0.1012949,0.1073615,0.01347863,0.7272468],"study_design_scores_gemma":[0.01761512,0.008319922,0.07679233,0.0005253648,0.00006823173,0.04332602,0.01556794,0.06664509,0.006510383,0.679027,0.08373544,0.001867127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8384467,0.002475718,0.00002754756,0.1577842,0.0006295551,0.0003140419,0.000005080673,0.00002069526,0.0002963809],"genre_scores_gemma":[0.9509616,0.04784416,0.0001338796,0.0003256116,0.000279844,0.000009487339,0.000002147495,0.000006840643,0.0004364276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7253797,"threshold_uncertainty_score":0.9985325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0376243932896251,"score_gpt":0.3918671787665138,"score_spread":0.3542427854768888,"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."}}