{"id":"W3210752058","doi":"10.5281/zenodo.4088510","title":"BIO NSD2 PWWP1 Expression and Purification Protocol","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Expression (computer science); Protocol (science); Computational biology; Biology; Computer science; Programming language; Medicine","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":[0.001701308,0.002839659,0.001808633,0.004111395,0.001094938,0.002261031,0.002658552,0.001987151,0.05381377],"category_scores_gemma":[0.004351498,0.0007742462,0.001735464,0.005876496,0.000487978,0.001057993,0.001538264,0.001753234,0.08235141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187932,"about_ca_system_score_gemma":0.002772637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01455032,"about_ca_topic_score_gemma":0.02081708,"domain_scores_codex":[0.9985845,0.0002622492,0.0001695597,0.0005387944,0.0002715135,0.0001734627],"domain_scores_gemma":[0.9987463,0.0003882303,0.0001270005,0.0003620093,0.0002303727,0.0001460163],"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":[0.0004388439,0.00006319518,0.001863664,0.002858931,0.0001536476,0.00005638198,0.00004440243,0.001183844,0.002418389,0.0008009178,0.9844143,0.005703531],"study_design_scores_gemma":[0.000466265,0.00005914066,0.004746626,0.0003726998,0.0001699658,0.0001227564,0.00005972416,0.0008865872,0.003003022,0.002112499,0.9879341,0.00006659549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002786205,0.0001478464,0.0002950032,0.0000332972,0.00001818866,0.00002811484,0.9978933,0.0006948982,0.0006107307],"genre_scores_gemma":[0.0003244469,0.00007456011,0.0004983718,0.0000371028,0.000002286653,0.000111445,0.9985128,0.0001278771,0.0003110101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05381377,"threshold_uncertainty_score":0.180025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0291867047719411,"score_gpt":0.2358743806829303,"score_spread":0.2066876759109892,"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."}}