{"id":"W7068783534","doi":"","title":"Cleveland, Ohio","year":2009,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Quarter (Canadian coin); Period (music); Settlement (finance)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001151896,0.001919409,0.001065701,0.002063273,0.002917009,0.005318253,0.001529504,0.003239078,0.8351537],"category_scores_gemma":[0.002866251,0.0007826291,0.0009246357,0.002306736,0.0008893289,0.002852981,0.002163947,0.002360288,0.5329224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002044328,"about_ca_system_score_gemma":0.002793641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033429,"about_ca_topic_score_gemma":0.02606544,"domain_scores_codex":[0.9986212,0.0001565015,0.00007648578,0.0005859051,0.0003888849,0.0001710641],"domain_scores_gemma":[0.9981211,0.0003482348,0.0001431813,0.0002734276,0.0005021033,0.0006119803],"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":[0.0001393114,0.0001290022,0.0007929396,0.0001648282,0.00002130302,0.0004062058,0.0000777441,0.00009790376,0.0003402706,0.006792597,0.8672637,0.1237741],"study_design_scores_gemma":[0.0000446807,0.00002040779,0.0009898557,0.0001165865,0.000008329167,0.0001280438,0.00005686619,0.00004670224,0.00008418308,0.0006382227,0.9978531,0.00001308571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00110733,0.004444984,0.0009552295,0.005039496,0.00528386,0.0001756175,0.01156448,0.0009770696,0.9704518],"genre_scores_gemma":[0.005109436,0.004435427,0.001456424,0.001247437,0.0008792893,0.0002208941,0.00492829,0.0006711793,0.9810517],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8351537,"threshold_uncertainty_score":0.2351332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004963350062164315,"score_gpt":0.2037400633495664,"score_spread":0.1987767132874021,"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."}}