{"id":"W4394421306","doi":"10.6084/m9.figshare.20481603.v2","title":"File 1. OMZ Compendium Metadata","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Compendium; Metadata; Computer science; Database; World Wide Web; Information retrieval; Geography; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001746983,0.002309643,0.001980845,0.006237321,0.001440018,0.003101871,0.003287006,0.001595639,0.3059294],"category_scores_gemma":[0.007368399,0.001085365,0.001354253,0.01047294,0.0006292009,0.002145614,0.002989551,0.001904888,0.1704796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766922,"about_ca_system_score_gemma":0.002759173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01415113,"about_ca_topic_score_gemma":0.02534006,"domain_scores_codex":[0.9987588,0.0001428823,0.0001705439,0.0004014982,0.000298543,0.000227805],"domain_scores_gemma":[0.9967797,0.00132822,0.0003570902,0.000549289,0.0007300058,0.0002556951],"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":[0.0001243366,0.00002357441,0.0007714216,0.001419729,0.00005137558,0.00004363417,0.00005161051,0.000219742,0.0005316752,0.00083434,0.992043,0.003885666],"study_design_scores_gemma":[0.0002606089,0.00002111268,0.004295674,0.0004744994,0.00005795617,0.00009624332,0.00008693441,0.000207975,0.0007914533,0.002482594,0.9911848,0.00004014529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004036583,0.00001633305,0.00006883119,0.00001615686,0.000008074984,0.000007967553,0.9992681,0.0002334328,0.000340723],"genre_scores_gemma":[0.0002332646,0.00002828615,0.0004114282,0.00003418165,0.000004481866,0.00006273294,0.9985597,0.0001930867,0.0004729669],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3059294,"threshold_uncertainty_score":0.9900075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03993890912211516,"score_gpt":0.2686074267291413,"score_spread":0.2286685176070261,"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."}}