{"id":"W4394460110","doi":"10.6084/m9.figshare.4219659","title":"BIO205 2016 Tut0106 Census 2 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":[0.001237614,0.001691918,0.001379473,0.003567397,0.0006944868,0.00256318,0.0022262,0.001425145,0.148788],"category_scores_gemma":[0.007532772,0.0009197386,0.001080369,0.007151218,0.0004048349,0.00113041,0.001723375,0.001565085,0.1258982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502947,"about_ca_system_score_gemma":0.003492653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0487643,"about_ca_topic_score_gemma":0.06426849,"domain_scores_codex":[0.9992422,0.0001154239,0.0001237194,0.0002210476,0.0001609187,0.0001366388],"domain_scores_gemma":[0.9971021,0.0007677113,0.0003512576,0.0006641605,0.0007490612,0.0003657029],"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":[0.00005580438,0.00001158743,0.001093201,0.0004981126,0.00002999376,0.00001447728,0.00001985469,0.0002756894,0.00008966232,0.0003815551,0.9963627,0.001167321],"study_design_scores_gemma":[0.0003095244,0.00001364131,0.006212794,0.0002583223,0.0000328018,0.00003890929,0.00008243343,0.0003137831,0.0002569779,0.001084935,0.9913641,0.00003167079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004460615,0.00001111031,0.00002719263,0.00002547802,0.000009171551,0.000003484616,0.9995684,0.0001130943,0.0001975522],"genre_scores_gemma":[0.0003566053,0.00003060493,0.000147416,0.00003123574,0.00000867123,0.00005225926,0.9987244,0.0001074108,0.0005413558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.148788,"threshold_uncertainty_score":0.4977453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.064825733694729,"score_gpt":0.2848734885536254,"score_spread":0.2200477548588964,"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."}}