{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004445828,0.0007512364,0.0006678522,0.000150301,0.0001378142,0.0001108143,0.0008969954,0.001221747,0.3242839],"category_scores_gemma":[0.0003722801,0.000743153,0.0003281131,0.00002048744,0.0003670651,1.126942e-7,0.0003873284,0.0004659108,0.01347112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004461856,"about_ca_system_score_gemma":0.0000592026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003146593,"about_ca_topic_score_gemma":0.000738171,"domain_scores_codex":[0.996969,0.0001340621,0.001144188,0.0004389032,0.0006376426,0.0006761768],"domain_scores_gemma":[0.9970717,0.0000487696,0.001199239,0.001129645,0.0002991912,0.0002514741],"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":[0.0001547291,0.00006708825,0.00003508119,0.0007337452,0.0001884313,0.000009131003,0.0001165783,0.0001087573,0.00002416955,0.00001184902,0.9970818,0.001468626],"study_design_scores_gemma":[0.0008946088,0.0005603016,0.00002859867,0.0002726147,0.00009840995,0.0001537374,0.00008003703,0.0001200236,0.0003616086,0.000004877035,0.9966279,0.0007973186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003828359,0.0004270578,0.000009707592,0.00009015569,0.0006546463,0.0007018572,0.0009603812,0.0001850238,0.9965883],"genre_scores_gemma":[0.001370785,0.0005225171,0.002979582,0.000885487,0.0007743408,0.00004086561,0.001556529,0.0002914118,0.9915785],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3108128,"threshold_uncertainty_score":0.9995019,"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."}}