{"id":"W7056423508","doi":"","title":"Ep 05 - Sciographies - Sarah Wells, Biomedical Engineer - Heart Tissues & Spider Silk","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feeling; Natural (archaeology); Reading (process); Spider silk; Medical science; Biomedical technology","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":[0.0004122833,0.000548759,0.0002862825,0.001260115,0.001697476,0.003122866,0.0004571089,0.001964406,0.5542059],"category_scores_gemma":[0.0009096625,0.000296965,0.0002302976,0.0008921335,0.0005306021,0.001506316,0.00087827,0.001477691,0.3756974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215054,"about_ca_system_score_gemma":0.0009382988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003798871,"about_ca_topic_score_gemma":0.01815381,"domain_scores_codex":[0.9997509,0.00001408445,0.000007435509,0.00004418987,0.0001491879,0.00003423108],"domain_scores_gemma":[0.9993001,0.0001148083,0.00003028463,0.0000385177,0.0002980651,0.0002181818],"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":[0.00001855958,0.00002204579,0.0001066896,0.00008436617,0.000001288849,0.00007954129,0.00004694561,0.00003075106,0.0006154419,0.002755971,0.9361107,0.06012764],"study_design_scores_gemma":[0.000001669901,0.000009715484,0.0002425892,0.00003752144,6.636922e-7,0.00008412242,0.00004957773,0.00002683667,0.0003024408,0.0004424297,0.9988005,0.000001985679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005256542,0.004791261,0.0006055629,0.005554727,0.003464482,0.00004619252,0.0005410777,0.0005515033,0.9839194],"genre_scores_gemma":[0.000555329,0.0006680049,0.00007896535,0.0003119539,0.0001177761,0.000005223736,0.00006924401,0.00004433003,0.9981492],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5542059,"threshold_uncertainty_score":0.6358712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006703690792682605,"score_gpt":0.2141865694704025,"score_spread":0.2074828786777199,"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."}}