{"id":"W6969705876","doi":"10.5683/sp2/t33zp6","title":"Data for: An inventory of early branch points in microbial phosphonate biosynthesis","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Biosynthesis; Directory; Scripting language; Visualization; Data visualization; Phosphonate","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":[0.001316871,0.00300557,0.001691686,0.00367843,0.001489825,0.002430602,0.003121778,0.00241409,0.04620487],"category_scores_gemma":[0.00397451,0.0009387897,0.001687823,0.004992149,0.0005177736,0.001546572,0.002293909,0.002787876,0.06576012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704733,"about_ca_system_score_gemma":0.002550722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01370414,"about_ca_topic_score_gemma":0.0267988,"domain_scores_codex":[0.9987864,0.0001188536,0.000135974,0.0004371942,0.0003254324,0.0001961526],"domain_scores_gemma":[0.9978489,0.0004748936,0.0002858908,0.0005396429,0.0005628006,0.0002880009],"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":[0.0002979242,0.0001005278,0.003676742,0.002323364,0.00009943406,0.00008354052,0.00007865814,0.0009406838,0.003458449,0.001099333,0.9820228,0.005818577],"study_design_scores_gemma":[0.000396079,0.00007313768,0.0129149,0.0003774816,0.00009633048,0.0002184917,0.0001426582,0.001041372,0.004453244,0.002572838,0.9776252,0.00008818227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002898804,0.00004586945,0.0001241351,0.00002870639,0.00001448803,0.00001110748,0.9987082,0.0004039843,0.0003735824],"genre_scores_gemma":[0.000572967,0.00003434368,0.0006253858,0.00002645727,0.000003558468,0.00005595947,0.9983632,0.00008799841,0.0002301535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04620487,"threshold_uncertainty_score":0.1545707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0583089634144098,"score_gpt":0.3051976713117157,"score_spread":0.2468887078973059,"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."}}