{"id":"W4394501038","doi":"10.6084/m9.figshare.4210215","title":"BIO205 2016 Tut0108 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; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001275042,0.001698269,0.001398369,0.003681239,0.000700612,0.002521898,0.002305362,0.001399888,0.1481608],"category_scores_gemma":[0.007570622,0.0009139965,0.001051475,0.007310027,0.0004099567,0.001116924,0.001754802,0.00157557,0.1267568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540605,"about_ca_system_score_gemma":0.003551856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04834557,"about_ca_topic_score_gemma":0.06492192,"domain_scores_codex":[0.9992349,0.0001154391,0.0001248678,0.0002239062,0.000163939,0.0001370443],"domain_scores_gemma":[0.9970284,0.000798908,0.0003595583,0.0006706565,0.0007651705,0.0003773544],"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":[0.00005695429,0.00001168318,0.001070186,0.0005167038,0.00002945078,0.00001398646,0.00001996751,0.0002620032,0.00009277811,0.0003719674,0.9963186,0.001235694],"study_design_scores_gemma":[0.0003059092,0.00001372261,0.005994401,0.0002587147,0.00003241454,0.00003634101,0.00008029181,0.0002904719,0.0002545066,0.001047516,0.9916552,0.00003044774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004307332,0.00001123344,0.00002694293,0.00002448481,0.000008756277,0.000003528879,0.9995794,0.0001125268,0.0001901053],"genre_scores_gemma":[0.0003349879,0.00003141841,0.0001478423,0.00002997017,0.000008281545,0.00005302593,0.9987609,0.0001049237,0.0005286761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8518392,"threshold_uncertainty_score":0.4956474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06938009191801962,"score_gpt":0.285961852778754,"score_spread":0.2165817608607344,"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."}}