{"id":"W6986387084","doi":"","title":"2,565,000,000,000,000. A photoalbum","year":2018,"lang":"en","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":"nobody; Agora; Ice caps; Cube (algebra)","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":[0.0002844612,0.001013889,0.0004823904,0.001525038,0.001251896,0.00354246,0.0006345885,0.0007082269,0.8521947],"category_scores_gemma":[0.0008278062,0.0003317034,0.0004348781,0.00176551,0.0004885396,0.002719674,0.002423973,0.001438286,0.7652954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006563,"about_ca_system_score_gemma":0.0004899033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004620437,"about_ca_topic_score_gemma":0.01418044,"domain_scores_codex":[0.9998171,0.00001742108,0.000005097872,0.00004174731,0.00008817112,0.00003044794],"domain_scores_gemma":[0.9994534,0.00005285501,0.00002007495,0.00007334575,0.0001428299,0.0002575681],"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":[0.00002475834,0.00001350402,0.00006906876,0.00007884756,0.00000180495,0.0000360048,0.00003576102,0.00002448706,0.0004301576,0.000676082,0.963671,0.03493847],"study_design_scores_gemma":[0.000002877996,0.000004944986,0.0004970899,0.00004007118,8.757928e-7,0.00004891481,0.00006484245,0.00002121204,0.00007960864,0.0001418567,0.9990954,0.000002289295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000650212,0.001365885,0.0008019871,0.00112207,0.002725785,0.00007660512,0.006174266,0.002022308,0.9850609],"genre_scores_gemma":[0.001277561,0.0004919964,0.0003362754,0.0002476881,0.0002509124,0.00001825992,0.001978243,0.0007191384,0.99468],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8521947,"threshold_uncertainty_score":0.2108263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004730326471366858,"score_gpt":0.2015966731005704,"score_spread":0.1968663466292035,"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."}}