{"id":"W4239341695","doi":"10.24908/iqurcp.10494","title":"Poster Abstracts","year":2018,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Vagus Nerve Stimulation Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002701104,0.0003634586,0.000339433,0.001017544,0.001085678,0.00130178,0.001554476,0.000240245,0.0006350318],"category_scores_gemma":[0.006060471,0.0003331676,0.0001050681,0.002176933,0.003304652,0.001389239,0.0008795161,0.00138938,0.005570471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002652654,"about_ca_system_score_gemma":0.0006082485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001944189,"about_ca_topic_score_gemma":0.00001637858,"domain_scores_codex":[0.992584,0.0002799255,0.0006494513,0.001411367,0.003135863,0.001939432],"domain_scores_gemma":[0.994329,0.0008153855,0.0001714647,0.0004904206,0.003500652,0.0006931108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004665042,0.0003410331,0.004355194,0.0001712861,0.00002782176,0.00009381978,0.003843653,0.000003474071,0.6802632,0.2661021,0.03616993,0.008161987],"study_design_scores_gemma":[0.001341697,0.001449051,0.007894394,0.0002544447,0.000009131324,0.00009787337,0.001126264,0.002674052,0.8020324,0.1558168,0.02647176,0.000832119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.706886,0.00001209387,0.0004103397,0.05073929,0.0003591385,0.001331435,0.00001407907,0.0005107425,0.2397369],"genre_scores_gemma":[0.9911837,0.00008740632,0.000226266,0.000542169,0.0008368809,0.0001168443,0.000003658995,0.00007564508,0.006927458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2842977,"threshold_uncertainty_score":0.999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2384432265557737,"score_gpt":0.4347968883054601,"score_spread":0.1963536617496864,"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."}}