{"id":"W7016110106","doi":"","title":"2017 04 20 Yannick Jean des Saguennens de Chicoutimi","year":2017,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Context (archaeology); White (mutation)","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006274745,0.0007272275,0.0006603176,0.00007519234,0.0004258891,0.0001962193,0.001148592,0.001300826,0.3915175],"category_scores_gemma":[0.0013246,0.0007631996,0.0004258164,0.000006210604,0.0008769399,1.562573e-7,0.0004218461,0.0006718828,0.01950297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130566,"about_ca_system_score_gemma":0.0001750148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00573652,"about_ca_topic_score_gemma":0.008766313,"domain_scores_codex":[0.9972452,0.0001811961,0.0009759822,0.0003610139,0.0004133168,0.0008232816],"domain_scores_gemma":[0.9962968,0.0001020557,0.001607608,0.001294324,0.0003571658,0.0003420837],"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":[0.0001477151,0.00008315529,0.0001332807,0.001397483,0.0002560385,0.00002213888,0.0003729424,0.00311887,0.00004226076,0.00004355458,0.9849021,0.009480502],"study_design_scores_gemma":[0.0009059868,0.0004850115,0.000196169,0.000639065,0.0001674805,0.0003216618,0.00008288353,0.0006090668,0.0002141507,0.00001547641,0.9955894,0.0007736426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001140541,0.002051406,0.00001700134,0.0004635631,0.0005409145,0.0005289079,0.0002913842,0.00005867097,0.9949076],"genre_scores_gemma":[0.004248032,0.002643828,0.007628206,0.0004669508,0.0004981218,0.00001760593,0.0008271158,0.0001320421,0.9835381],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3720145,"threshold_uncertainty_score":0.9999957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006612656404309775,"score_gpt":0.2093233734992506,"score_spread":0.2027107170949408,"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."}}