{"id":"W6976968183","doi":"10.6069/dxsn-c912","title":"2020_Human BAK125 kit _Room Temperature","year":2021,"lang":"en","type":"dataset","venue":"University of Washington Libraries","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peptide; Dry ice; Quantitative analysis (chemistry); Analytical Chemistry (journal)","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":[0.001699489,0.002129916,0.00174356,0.002423069,0.0009499844,0.002275853,0.002226434,0.001887471,0.09455626],"category_scores_gemma":[0.005191993,0.000779443,0.001062858,0.003879231,0.0003860461,0.00105525,0.001572409,0.001342174,0.1333082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164376,"about_ca_system_score_gemma":0.002040031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466552,"about_ca_topic_score_gemma":0.02986455,"domain_scores_codex":[0.9990488,0.0002012176,0.00009959721,0.0003544168,0.0001626053,0.0001335076],"domain_scores_gemma":[0.9984739,0.0005244684,0.0001891603,0.0004029048,0.0002821842,0.0001273256],"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":[0.0005485745,0.00005997581,0.003379961,0.001985462,0.0001365408,0.00005249113,0.0000537388,0.0005746649,0.000949272,0.0007065355,0.9839632,0.007589568],"study_design_scores_gemma":[0.0005610803,0.00005535198,0.00671046,0.0002894519,0.0001223636,0.0000999726,0.00006078675,0.0005290964,0.001698868,0.001441584,0.9883881,0.00004287099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003800004,0.0001195253,0.0001286603,0.00003868672,0.00001625573,0.00001214449,0.9981955,0.0004165385,0.0006928118],"genre_scores_gemma":[0.0005502226,0.00005988672,0.0004026454,0.00004232566,0.000004976651,0.00007916137,0.9979509,0.0001097576,0.000800114],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9054437,"threshold_uncertainty_score":0.3163222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009891201859865,"score_gpt":0.1871777884227121,"score_spread":0.1770788764041134,"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."}}