{"id":"W7015265017","doi":"","title":"SHORT CUTS #80 - Gerbils Are Eating Their Young","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Maternal and fetal healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Worry; White (mutation); Terrorism; Government (linguistics); Work (physics)","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":[0.0008150468,0.0006239369,0.0003644009,0.0007976495,0.005731094,0.003885995,0.000907608,0.006856777,0.4189399],"category_scores_gemma":[0.004271914,0.0003721288,0.0003851569,0.0005982675,0.0009088429,0.002275313,0.002968724,0.003253631,0.2452689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003089786,"about_ca_system_score_gemma":0.006009694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06385576,"about_ca_topic_score_gemma":0.1875643,"domain_scores_codex":[0.999096,0.00008915734,0.00003555713,0.00008165799,0.0004092923,0.0002882764],"domain_scores_gemma":[0.9974502,0.000237407,0.00009051812,0.0001026602,0.0008640072,0.001255315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000006319311,0.000004088553,0.00007682331,0.00001819591,2.911499e-7,0.00002940694,0.00007170944,0.000001701063,0.00002848042,0.0006087832,0.9923813,0.006772927],"study_design_scores_gemma":[0.000001960224,0.00000548982,0.000682194,0.00006470079,8.596897e-7,0.00004606462,0.0003849012,0.000003338934,0.0000283032,0.0001856685,0.998594,0.000002615114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001760319,0.004536702,0.0001866031,0.128858,0.03135025,0.0001398529,0.003520147,0.0006423939,0.8290058],"genre_scores_gemma":[0.003237627,0.001445124,0.0001050654,0.02025182,0.00190949,0.00005645501,0.0008896075,0.0001492626,0.9719555],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4189399,"threshold_uncertainty_score":0.8288116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009939158455464904,"score_gpt":0.2226830504013714,"score_spread":0.2127438919459065,"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."}}