{"id":"W2556735812","doi":"10.6084/m9.figshare.4232528.v3","title":"BIO205 2016 Tut0103 Census 3 Data.xlsx","year":2016,"lang":"en","type":"article","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; Population; Demography; Sociology","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":["insufficient_payload"],"category_scores_codex":[0.001068056,0.001140131,0.001080265,0.004314851,0.0007070006,0.002313486,0.001674041,0.0009441889,0.3457099],"category_scores_gemma":[0.007573273,0.0008526434,0.0008195755,0.00923081,0.0002773915,0.001002917,0.001462185,0.001166086,0.1760221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623778,"about_ca_system_score_gemma":0.004084127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1019782,"about_ca_topic_score_gemma":0.1103732,"domain_scores_codex":[0.9992975,0.00009177407,0.0001232855,0.0001426992,0.0001946984,0.000150008],"domain_scores_gemma":[0.996043,0.0009358964,0.0004275209,0.0007927007,0.001398104,0.0004027373],"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":[0.00006955182,0.00001254155,0.001588783,0.0003614809,0.00002465637,0.00001851906,0.00003365812,0.0002961236,0.0001298271,0.0004871885,0.9944207,0.002556956],"study_design_scores_gemma":[0.0001860003,0.00001320271,0.01065745,0.0002202613,0.00002498125,0.0000345523,0.0001244185,0.0003850183,0.0003983611,0.0008002685,0.9871191,0.00003642646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008246179,0.000005820846,0.00005700865,0.0000270917,0.00001263582,0.000006699868,0.9989809,0.0001647708,0.0006625081],"genre_scores_gemma":[0.0008549519,0.00002937366,0.000366509,0.00003390189,0.00001324167,0.00009083907,0.9962489,0.0003245047,0.002037855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6542901,"threshold_uncertainty_score":0.9332654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07560057880820975,"score_gpt":0.2682156840749722,"score_spread":0.1926151052667625,"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."}}