{"id":"W4394291062","doi":"10.6084/m9.figshare.4232528.v1","title":"BIO205 2016 Tut0103 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; Geography; Demography; Sociology; 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":[0.001280603,0.001702021,0.001388606,0.003563139,0.0007208298,0.002658715,0.002355863,0.001453896,0.1568554],"category_scores_gemma":[0.00746289,0.0009386288,0.001130104,0.007108167,0.0004281205,0.001145543,0.001827479,0.0015856,0.1312078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575349,"about_ca_system_score_gemma":0.003622417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04948484,"about_ca_topic_score_gemma":0.06557973,"domain_scores_codex":[0.9992187,0.0001171731,0.0001290798,0.0002243647,0.0001682091,0.0001424851],"domain_scores_gemma":[0.997045,0.0007998795,0.0003537628,0.0006815897,0.0007443595,0.0003754166],"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":[0.00005562741,0.00001116487,0.001044396,0.0004859816,0.00002988938,0.00001425031,0.00002001989,0.0002647932,0.00009090148,0.0003814885,0.9964734,0.001128067],"study_design_scores_gemma":[0.0003165087,0.00001318963,0.005804691,0.0002477798,0.00003238942,0.0000375641,0.00008169198,0.000315584,0.0002718704,0.001123579,0.9917232,0.00003187085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004214264,0.0000105555,0.00002759513,0.0000246362,0.000008741578,0.00000356519,0.9995597,0.0001263823,0.0001966194],"genre_scores_gemma":[0.0003453212,0.00002994236,0.0001518348,0.00003185008,0.000008257488,0.00005400243,0.9987186,0.0001206519,0.0005395783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1568554,"threshold_uncertainty_score":0.5247337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06679201181497708,"score_gpt":0.2853728244805382,"score_spread":0.2185808126655611,"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."}}