{"id":"W7016317451","doi":"","title":"William Inglis (Canadian 158663)","year":2011,"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":"Corporation; George (robot); Ticket; Launched","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":[0.0001053095,0.0004208534,0.0002888668,0.0002723163,0.0001315148,0.0001694975,0.0003883254,0.0007488379,0.002910251],"category_scores_gemma":[0.00001750892,0.0004033736,0.0001098474,0.0001551644,0.0000958263,0.0002294011,0.0002600403,0.000388623,0.0002556599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000723288,"about_ca_system_score_gemma":0.0001332678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007535471,"about_ca_topic_score_gemma":0.0001918941,"domain_scores_codex":[0.9985297,0.00006391053,0.0005033417,0.000226091,0.0001325171,0.0005444385],"domain_scores_gemma":[0.998709,0.000007591462,0.00040419,0.0005056779,0.0000183494,0.0003552425],"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":[0.00003096295,0.00001105587,0.0006455539,0.0001597731,0.00009531193,0.000001216835,0.00008827128,0.00003822052,0.000001081544,0.03795073,0.9559084,0.005069472],"study_design_scores_gemma":[0.0004260913,0.00009764157,0.0003570001,0.0002104136,0.00001817896,0.00002035408,0.00000332673,0.0002697382,0.00002403085,0.00005523975,0.9980612,0.0004567293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001699539,0.0007494864,0.0004495637,0.0001435549,0.0007514207,0.0003560542,0.0002716603,0.0001416277,0.9971197],"genre_scores_gemma":[0.01218477,0.02563384,0.01683616,0.03456914,0.008058821,0.0001140817,0.0447602,0.001080464,0.8567625],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1403571,"threshold_uncertainty_score":0.9998418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005440423583306445,"score_gpt":0.1901126390327555,"score_spread":0.1846722154494491,"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."}}