{"id":"W4394371656","doi":"10.6084/m9.figshare.4123323","title":"BIO205 2016 Tut0102 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":[],"consensus_categories":[],"category_scores_codex":[0.001313636,0.001758458,0.001434789,0.003722575,0.0007392788,0.002654256,0.002387397,0.001483755,0.1509457],"category_scores_gemma":[0.007689801,0.0009391226,0.001097642,0.007340696,0.000427347,0.001155905,0.001813474,0.001622843,0.1276903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576935,"about_ca_system_score_gemma":0.003626066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04763236,"about_ca_topic_score_gemma":0.0640078,"domain_scores_codex":[0.9992033,0.0001204432,0.0001265689,0.0002354843,0.0001705747,0.0001436352],"domain_scores_gemma":[0.9969845,0.0008229629,0.000360716,0.0006819174,0.0007600866,0.0003897883],"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":[0.00005709861,0.00001196782,0.001057758,0.00051609,0.00003022604,0.00001442779,0.00001987605,0.0002661408,0.00009568257,0.0003748161,0.9963962,0.001159679],"study_design_scores_gemma":[0.0003219454,0.00001415747,0.005950407,0.0002618953,0.00003433583,0.00003861686,0.00008267272,0.0003099363,0.0002727673,0.001101685,0.9915792,0.0000323485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000424685,0.00001114721,0.00002737794,0.00002458343,0.000008752327,0.000003554671,0.9995794,0.0001159635,0.0001867914],"genre_scores_gemma":[0.000324433,0.00002966006,0.0001457582,0.00003004155,0.00000799784,0.00005174898,0.9988034,0.0001077514,0.0004992511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1509457,"threshold_uncertainty_score":0.5049636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06967856335031015,"score_gpt":0.2857519473358505,"score_spread":0.2160733839855404,"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."}}