{"id":"W4394226223","doi":"10.6084/m9.figshare.4219656","title":"BIO205 2016 Tut0106 Census 1 Data.xlsx","year":2016,"lang":"en","type":"dataset","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; Environmental health; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.001266839,0.001716687,0.001411694,0.003676919,0.0007025375,0.002551858,0.002290075,0.001422671,0.1503238],"category_scores_gemma":[0.007687237,0.0009191477,0.001073409,0.0073644,0.0004132596,0.001141196,0.001736194,0.001584013,0.1276057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545422,"about_ca_system_score_gemma":0.003559452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04896242,"about_ca_topic_score_gemma":0.06494686,"domain_scores_codex":[0.9992303,0.0001166933,0.000124882,0.0002255944,0.0001651069,0.0001375749],"domain_scores_gemma":[0.9970217,0.0008086024,0.0003625823,0.0006672482,0.000763277,0.0003764404],"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":[0.00005689185,0.00001173433,0.00107879,0.0005285795,0.0000299938,0.00001397423,0.00001982,0.0002678841,0.00009087833,0.0003726667,0.9963212,0.001207552],"study_design_scores_gemma":[0.0003115892,0.00001398261,0.006074424,0.0002664041,0.00003313466,0.000037979,0.00008237622,0.0002975466,0.0002554528,0.001065484,0.9915305,0.00003112701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004200079,0.00001130316,0.0000259628,0.00002444587,0.000008616888,0.000003432724,0.9995878,0.0001082427,0.0001881799],"genre_scores_gemma":[0.0003308177,0.00003139082,0.000143384,0.00002962696,0.000008223235,0.00005053919,0.9987884,0.0001013266,0.0005163021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1503238,"threshold_uncertainty_score":0.5028831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.067943415821247,"score_gpt":0.2856752268556572,"score_spread":0.2177318110344102,"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."}}