{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005413526,0.0005607373,0.0003734432,0.0006860198,0.002386837,0.002387441,0.0004001153,0.001252648,0.5419426],"category_scores_gemma":[0.001152075,0.0002699065,0.0002397239,0.0005350609,0.0007170034,0.00108705,0.001612342,0.001515317,0.2748868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475141,"about_ca_system_score_gemma":0.002087905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03074724,"about_ca_topic_score_gemma":0.0908766,"domain_scores_codex":[0.9997179,0.00003472909,0.00001049907,0.00007107263,0.0001040282,0.00006177801],"domain_scores_gemma":[0.9993807,0.00006258044,0.000031564,0.00004281986,0.0002005116,0.0002817561],"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":[0.00006945288,0.0000234949,0.0009501716,0.00007544894,0.000002833303,0.0001972812,0.0002903662,0.000027186,0.0007977285,0.00502386,0.9291237,0.06341838],"study_design_scores_gemma":[0.000002060732,0.000005203869,0.0007555049,0.00002770302,5.666143e-7,0.00004966767,0.0001021806,0.00001306837,0.0001147314,0.000110322,0.9988163,0.000002790714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003479827,0.007013967,0.000941425,0.02394359,0.008004418,0.00006298478,0.001844141,0.0009228681,0.9537868],"genre_scores_gemma":[0.003202701,0.001130133,0.0002314338,0.0009542054,0.0002567333,0.00001413609,0.0002493808,0.0001245687,0.9938367],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4580574,"threshold_uncertainty_score":0.6533633,"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."}}