{"id":"W7068792481","doi":"","title":"Galion, 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":"Quarter (Canadian coin); Poor relief; Poorhouse; New england","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":[0.0004532246,0.001567758,0.0007084656,0.001245297,0.003081482,0.004926277,0.001032221,0.001860365,0.7532287],"category_scores_gemma":[0.001025449,0.0004850277,0.0005913636,0.001385965,0.0007116124,0.00209032,0.002499683,0.002061561,0.4813024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297023,"about_ca_system_score_gemma":0.001731922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005412547,"about_ca_topic_score_gemma":0.01391445,"domain_scores_codex":[0.9993427,0.00006038563,0.00002511806,0.0002997546,0.0001848537,0.00008706185],"domain_scores_gemma":[0.9994116,0.00008920165,0.00004944945,0.00007192506,0.0001601533,0.0002177297],"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":[0.0002575601,0.0003654583,0.003232697,0.0002963452,0.00003082682,0.0007833543,0.0003602016,0.0002711013,0.001620199,0.01111202,0.6836407,0.2980295],"study_design_scores_gemma":[0.00002558647,0.0000336779,0.002293642,0.0001136531,0.000006248487,0.0001292684,0.0001851827,0.0001107355,0.0002098275,0.0009552343,0.9959269,0.000009977077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002653273,0.002930527,0.0009568495,0.002783212,0.001994057,0.00008591753,0.005541891,0.0009062181,0.9821482],"genre_scores_gemma":[0.007327915,0.001876371,0.0007545085,0.0006248817,0.000201087,0.00006335272,0.002189986,0.0002544515,0.9867073],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7532287,"threshold_uncertainty_score":0.3519893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004521060874218987,"score_gpt":0.2034524057581705,"score_spread":0.1989313448839515,"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."}}