{"id":"W7068858082","doi":"","title":"Toledo, 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":"Eagle; Orange (colour); Globe; Natural (archaeology)","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":[0.0004493919,0.001708188,0.0007982026,0.001339113,0.00335621,0.005200045,0.0012263,0.001668685,0.8163735],"category_scores_gemma":[0.001162504,0.0005863198,0.0006038987,0.00178233,0.0007772127,0.002016485,0.002189876,0.00214416,0.5778392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392085,"about_ca_system_score_gemma":0.002018536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009388957,"about_ca_topic_score_gemma":0.02872684,"domain_scores_codex":[0.9992478,0.0000512163,0.00002868451,0.0003141558,0.0002579116,0.0001001141],"domain_scores_gemma":[0.9992478,0.0001254464,0.00005350271,0.0001028867,0.0002353111,0.0002349873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000288641,0.0003343074,0.002054616,0.0002786161,0.00002283629,0.0006361571,0.0002754762,0.0002537898,0.001747499,0.009876866,0.7373115,0.2469196],"study_design_scores_gemma":[0.00003192611,0.0000321782,0.001859978,0.0001325455,0.000006679566,0.000126658,0.0002085099,0.0001170166,0.0002292152,0.0008581266,0.9963871,0.00001007351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001449441,0.001771035,0.0006324849,0.001132792,0.001352925,0.00007056098,0.004796948,0.0005127488,0.9882811],"genre_scores_gemma":[0.003499304,0.001146279,0.0005309884,0.0002988928,0.000129311,0.00004513735,0.001862269,0.0002142718,0.9922736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8163735,"threshold_uncertainty_score":0.2619209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004684022224796671,"score_gpt":0.2042796595105844,"score_spread":0.1995956372857877,"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."}}