{"id":"W2915326817","doi":"10.6084/m9.figshare.4219656.v1","title":"BIO205 2016 Tut0106 Census 1 Data.xlsx","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Medicine; Population; Environmental health","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":["insufficient_payload"],"category_scores_codex":[0.001069748,0.001205088,0.001111408,0.004576023,0.0006840654,0.002171026,0.001646688,0.0009276213,0.3299621],"category_scores_gemma":[0.00784847,0.0008350987,0.0007755221,0.009855834,0.0002660633,0.001008968,0.001382888,0.001179741,0.1708945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545916,"about_ca_system_score_gemma":0.004004882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1015409,"about_ca_topic_score_gemma":0.1077177,"domain_scores_codex":[0.9993038,0.0000917114,0.0001211341,0.0001451753,0.0001940214,0.0001440635],"domain_scores_gemma":[0.9960829,0.0008899596,0.000441369,0.000733207,0.001456552,0.0003960287],"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":[0.00006912174,0.00001310023,0.001576721,0.000408836,0.000024257,0.00001738565,0.00003238336,0.0002834878,0.0001218807,0.000464465,0.994249,0.002739425],"study_design_scores_gemma":[0.000183288,0.00001491902,0.01100894,0.0002540638,0.00002620612,0.00003519102,0.0001267517,0.0003459215,0.0003478246,0.0007369404,0.9868853,0.0000347233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007733308,0.000006498353,0.00004944396,0.00002698043,0.0000129311,0.000006439352,0.999091,0.0001238552,0.0006055257],"genre_scores_gemma":[0.0007575369,0.00003256559,0.0003165863,0.00003019268,0.00001354018,0.00008155181,0.99663,0.0002339507,0.001903972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6700379,"threshold_uncertainty_score":0.9557278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07696561461560072,"score_gpt":0.2684635548736307,"score_spread":0.19149794025803,"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."}}