{"id":"W4394469129","doi":"10.6084/m9.figshare.4138620.v1","title":"BIO205 2016 Tut0103 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001270461,0.001711698,0.001389962,0.00358697,0.0007181057,0.002643786,0.002298908,0.001450397,0.1508271],"category_scores_gemma":[0.007492213,0.0009343614,0.001113266,0.007202477,0.0004163381,0.001129775,0.001787552,0.001580689,0.1263928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556947,"about_ca_system_score_gemma":0.003624287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05001732,"about_ca_topic_score_gemma":0.06660815,"domain_scores_codex":[0.9992266,0.0001176678,0.0001257381,0.0002240505,0.0001650646,0.0001408439],"domain_scores_gemma":[0.9970785,0.0007810727,0.0003494609,0.0006729878,0.0007446355,0.0003732618],"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":[0.00005528089,0.00001136681,0.001067663,0.0004815665,0.00003023731,0.00001457183,0.00001972613,0.0002728307,0.00009097232,0.0003859283,0.9964522,0.001117637],"study_design_scores_gemma":[0.000321554,0.00001357905,0.006117023,0.0002531041,0.00003370694,0.00003871171,0.00008251853,0.0003269908,0.0002673613,0.001133905,0.991379,0.00003258898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004423454,0.00001083816,0.00002784208,0.00002515133,0.000009050895,0.000003548521,0.9995607,0.0001206467,0.0001979607],"genre_scores_gemma":[0.0003468775,0.00002940522,0.0001480905,0.00003133179,0.000008328919,0.00005303858,0.998745,0.0001143909,0.0005235986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8491729,"threshold_uncertainty_score":0.5045668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06531701045407506,"score_gpt":0.2851445041796608,"score_spread":0.2198274937255857,"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."}}