{"id":"W4393543083","doi":"10.5281/zenodo.3367278","title":"OPTN Purification","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biotin and Related Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002972892,0.0001914194,0.0001574451,0.0001149796,0.0009785807,0.0002618668,0.0009285561,0.0003572683,0.002833245],"category_scores_gemma":[0.0002800316,0.0001873798,0.00007830371,0.0001694495,0.0001371199,0.000005016664,0.001192013,0.000354922,0.01221773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000380528,"about_ca_system_score_gemma":0.000005040586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007114191,"about_ca_topic_score_gemma":2.628844e-7,"domain_scores_codex":[0.9986013,0.0001867611,0.0002071328,0.0005147955,0.000217531,0.0002725079],"domain_scores_gemma":[0.9986842,0.000004493803,0.0001378143,0.0007500015,0.0003370513,0.00008639105],"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":[0.0000334721,0.00006929889,1.472726e-7,0.00008750667,0.0001045545,0.000002350977,0.00002073171,0.000008078826,0.00360991,0.00002396816,0.9919623,0.004077749],"study_design_scores_gemma":[0.0002593898,0.000235642,0.00003116792,0.00002793259,0.00003312742,0.00004705024,0.00004431425,0.000004415453,0.0007238372,0.000005496634,0.9983663,0.0002213097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001617556,0.0008162739,0.0001481072,0.000426517,0.0003643282,0.0004684048,0.9805579,0.0001082983,0.01694847],"genre_scores_gemma":[0.0007244792,0.002727095,0.00004022249,0.0001687532,0.0003288542,3.425179e-8,0.9931228,0.0006403018,0.002247467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.014701,"threshold_uncertainty_score":0.9980783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714629216786896,"score_gpt":0.2550349980020727,"score_spread":0.2278887058342037,"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."}}