{"id":"W7095671350","doi":"","title":"Terms of Use This article was downloaded from Harvard University's DASH","year":2016,"lang":"en","type":"article","venue":"","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dash; Work (physics); Citation; Quarter (Canadian coin)","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":[0.0007320915,0.001346135,0.002245774,0.003347625,0.002139921,0.004496495,0.001322827,0.00194245,0.9258448],"category_scores_gemma":[0.003861481,0.0006051805,0.001042379,0.002442532,0.001263429,0.002479082,0.003170535,0.002440889,0.8474654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868533,"about_ca_system_score_gemma":0.001678275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005680965,"about_ca_topic_score_gemma":0.0108379,"domain_scores_codex":[0.9994836,0.00002743836,0.00003211396,0.00005727783,0.0003022811,0.0000972409],"domain_scores_gemma":[0.9985587,0.0001808908,0.00004668292,0.0002940937,0.00057582,0.000343893],"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":[0.0001596569,0.0001909725,0.001007024,0.0003981734,0.0000365766,0.0002861627,0.000173165,0.0001804322,0.003228047,0.01093422,0.8890241,0.09438147],"study_design_scores_gemma":[0.00001863364,0.00003917374,0.002781105,0.000184268,0.000006329554,0.0001358702,0.00008655589,0.0001135419,0.0003546575,0.001433552,0.994832,0.0000141837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001123034,0.0009235382,0.001079084,0.002380538,0.002734427,0.0003059907,0.01475821,0.005538218,0.9711571],"genre_scores_gemma":[0.004397427,0.0008315041,0.001046876,0.0013777,0.000447929,0.0001564581,0.004845724,0.001391158,0.9855052],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07415515,"threshold_uncertainty_score":0.1057733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03981758345387584,"score_gpt":0.244346903275319,"score_spread":0.2045293198214432,"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."}}