{"id":"W2976673328","doi":"10.21083/surg.v3i1.1030","title":"2009 College of Biological Sciences Poster Day Abstracts","year":2009,"lang":"en","type":"article","venue":"SURG Journal","topic":"Biological Research and Disease Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007157107,0.00008532178,0.0001279004,0.00003762117,0.0001552851,0.0000140939,0.0001895297,0.00009645149,0.00007515664],"category_scores_gemma":[0.0004489232,0.00005069325,0.0001110166,0.00008898524,0.0002904118,0.000003801905,0.00005270081,0.0001198337,0.000006968135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004538715,"about_ca_system_score_gemma":0.0001135664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001266262,"about_ca_topic_score_gemma":0.00000129549,"domain_scores_codex":[0.9990728,0.00009422354,0.0002059339,0.0001541644,0.0001861067,0.0002867086],"domain_scores_gemma":[0.9995295,0.0000311959,0.00007855058,0.00007831531,0.0001230123,0.0001593755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007045296,0.0004860866,0.04299155,0.000007386252,0.00009907032,0.0001392192,0.00001777686,0.00001693217,0.8715268,0.0007173209,0.05361785,0.02967547],"study_design_scores_gemma":[0.001274889,0.00671726,0.6982424,0.000044612,0.00001528615,0.0002258803,0.0002441147,0.00000339635,0.1997887,0.007624501,0.08542946,0.0003894324],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979475,0.004705112,0.00003045515,0.0007800026,0.00007788643,0.00005848997,0.00007835568,0.000003812119,0.01479088],"genre_scores_gemma":[0.9976943,0.001381629,0.0001610108,0.0003852325,0.0002460422,6.766002e-7,0.000006019407,0.000001448055,0.0001236836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6717381,"threshold_uncertainty_score":0.2067211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04072131678275336,"score_gpt":0.3266081101041037,"score_spread":0.2858867933213504,"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."}}