{"id":"W7069161512","doi":"","title":"Canton, 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":"Knight; Government (linguistics); Quarter (Canadian coin); Netting","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000111048,0.0004642492,0.0003458296,0.0001764037,0.0001149307,0.0002021947,0.000368037,0.0006908773,0.001103099],"category_scores_gemma":[0.00001594034,0.0004324743,0.0001239756,0.0001615524,0.00008044002,0.0002057441,0.0002747068,0.000405477,0.000124057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005504813,"about_ca_system_score_gemma":0.00007894713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.015795e-7,"about_ca_topic_score_gemma":0.000003199332,"domain_scores_codex":[0.9984009,0.0000768447,0.0005921499,0.0002472911,0.0001915326,0.0004913253],"domain_scores_gemma":[0.9987247,0.0000106052,0.0005216069,0.0005262392,0.00001747106,0.0001993731],"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":[0.00005401718,0.00001994106,0.0001801264,0.000165718,0.00008067935,0.000001217157,0.00004345097,0.0001645905,0.000004929786,0.04198784,0.9456618,0.01163573],"study_design_scores_gemma":[0.0006303397,0.0001462546,0.0003723534,0.0002398552,0.0000209181,0.00003303505,0.000002497719,0.0007497588,0.00004585547,0.00005484085,0.9972213,0.0004830279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002337196,0.001215244,0.001011588,0.0003216731,0.0005510163,0.0003830186,0.000167976,0.0002087305,0.9961174],"genre_scores_gemma":[0.007239567,0.03318871,0.01574707,0.03746698,0.009018601,0.00007443658,0.03939823,0.0007737807,0.8570926],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1390248,"threshold_uncertainty_score":0.9998127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00436965886673802,"score_gpt":0.2020405647752852,"score_spread":0.1976709059085472,"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."}}