{"id":"W4394349996","doi":"10.6084/m9.figshare.4232363","title":"BIO205 2016 Tut0107 Census 3 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; Environmental science; 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":[0.001267793,0.001690677,0.001391812,0.003617708,0.0007097929,0.002622583,0.002339324,0.001431504,0.1545197],"category_scores_gemma":[0.007544317,0.0009241024,0.001097303,0.007190741,0.0004261713,0.001141864,0.001800125,0.001581148,0.1332074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545407,"about_ca_system_score_gemma":0.003613267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04870808,"about_ca_topic_score_gemma":0.06445283,"domain_scores_codex":[0.9992192,0.0001174245,0.0001299943,0.0002234667,0.000169209,0.0001406409],"domain_scores_gemma":[0.997006,0.0008108372,0.0003598978,0.0006802293,0.0007686243,0.0003744276],"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":[0.00005487217,0.00001119664,0.001022692,0.0005071568,0.00002994893,0.00001404741,0.00001999845,0.000259827,0.0000904113,0.0003876273,0.9964574,0.001144921],"study_design_scores_gemma":[0.0002960846,0.00001301451,0.005671804,0.0002585014,0.00003182815,0.00003639568,0.00008005503,0.0002946801,0.0002640263,0.001091149,0.9919316,0.00003082093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000412496,0.00001087978,0.00002690806,0.00002432322,0.000008805727,0.000003538015,0.999569,0.0001180887,0.0001972277],"genre_scores_gemma":[0.000335373,0.00003110781,0.000146142,0.00003135057,0.000008239809,0.00005344219,0.9987412,0.000113252,0.0005398955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1545197,"threshold_uncertainty_score":0.5169199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06905824264207996,"score_gpt":0.2865693688523311,"score_spread":0.2175111262102512,"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."}}