{"id":"W4393412544","doi":"10.5281/zenodo.3555378","title":"Purification of Q23 and Q54 HTT and HTT-HAP40 from Sf9 2019/10/07","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sf9; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002093545,0.003148515,0.002249631,0.003291515,0.001439107,0.002751898,0.003386914,0.003985536,0.1367053],"category_scores_gemma":[0.008943658,0.001097727,0.002162355,0.0046503,0.0006003676,0.001373082,0.001540515,0.00245076,0.1425825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719512,"about_ca_system_score_gemma":0.003678554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01619557,"about_ca_topic_score_gemma":0.02347133,"domain_scores_codex":[0.9985734,0.0002495466,0.0001567583,0.0004401246,0.0003463739,0.0002336746],"domain_scores_gemma":[0.9970545,0.001247422,0.0002585757,0.0006886566,0.0004677815,0.000283137],"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":[0.000228212,0.0000465344,0.0007650128,0.001808707,0.00009228514,0.00002766899,0.0000206188,0.0004157411,0.0008805549,0.0005795506,0.992698,0.002437141],"study_design_scores_gemma":[0.002449182,0.0001083806,0.007417429,0.0007956913,0.0002434042,0.0001226113,0.00008308869,0.001323249,0.003623417,0.004194422,0.9795277,0.0001115255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001878086,0.0001137446,0.0001489276,0.0001130594,0.00003414527,0.00001968752,0.9980448,0.0007869099,0.0005507861],"genre_scores_gemma":[0.0004791042,0.00009531806,0.0005048871,0.0001160278,0.000006377354,0.00009553719,0.9980478,0.0001922311,0.0004625948],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1367053,"threshold_uncertainty_score":0.4573248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05904133525855829,"score_gpt":0.3358095111177802,"score_spread":0.276768175859222,"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."}}