{"id":"W6929776135","doi":"10.5066/p93sxyl0","title":"Pd qPCR Interlaboratory Testing Results","year":2023,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Ministry of Agriculture","funders":"","keywords":"Calculator; Serial dilution; Sample (material); Laboratory automation; Real-time polymerase chain reaction; Blinded study","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":[0.007694311,0.001992317,0.001643177,0.004144512,0.001137126,0.003090704,0.002510134,0.001994116,0.08950339],"category_scores_gemma":[0.02454793,0.0008452837,0.001271954,0.00684227,0.0005678556,0.001486525,0.002560911,0.001899104,0.07429257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435563,"about_ca_system_score_gemma":0.004191817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01662381,"about_ca_topic_score_gemma":0.02034371,"domain_scores_codex":[0.9906265,0.001567313,0.001510835,0.002702851,0.00291539,0.0006771638],"domain_scores_gemma":[0.9797578,0.007953994,0.001931564,0.003985572,0.005927042,0.0004439501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002191413,0.00004966341,0.007205663,0.001856287,0.00008224409,0.00006502681,0.00007888516,0.0008120728,0.0009291239,0.0009955945,0.9756415,0.01206473],"study_design_scores_gemma":[0.0001843658,0.00004086066,0.01601144,0.0007015705,0.00007069259,0.0001150234,0.000125619,0.0005169767,0.002247712,0.001652418,0.9782673,0.0000660409],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002804776,0.00004486148,0.0003491055,0.00005364477,0.00002568936,0.00002956503,0.9974917,0.0002961251,0.001428794],"genre_scores_gemma":[0.001505616,0.0000556491,0.00113526,0.0001221493,0.0000104385,0.0002784143,0.9951037,0.0002408457,0.001547947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08950339,"threshold_uncertainty_score":0.2994187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787251153203505,"score_gpt":0.2503255673241981,"score_spread":0.212453055792163,"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."}}