{"id":"W2916239398","doi":"10.6084/m9.figshare.4214553.v3","title":"BIO205 2016 Tut0110 Census 2 Data.xlsx","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Demography; Population; 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":[0.001178235,0.0008498839,0.0008574863,0.004565917,0.0006802888,0.001970717,0.001204852,0.0006994772,0.3418641],"category_scores_gemma":[0.01112972,0.0007119885,0.0005435572,0.01152117,0.0002467061,0.0008542145,0.001248004,0.0009603127,0.1840544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508654,"about_ca_system_score_gemma":0.004137762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08929531,"about_ca_topic_score_gemma":0.1146412,"domain_scores_codex":[0.9992684,0.0001157768,0.0001447183,0.0001315395,0.0002151196,0.0001244147],"domain_scores_gemma":[0.9947973,0.001264511,0.000565623,0.001014639,0.00192233,0.0004355779],"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":[0.00004785083,0.000006998037,0.001185994,0.0002601789,0.00001343189,0.00001445733,0.00002802174,0.0001319864,0.00006021715,0.0004436532,0.9952505,0.002556781],"study_design_scores_gemma":[0.0001268349,0.00001354254,0.01418302,0.0002276631,0.00002033556,0.00003926295,0.0001343369,0.0001548895,0.0002575457,0.0006998965,0.9841185,0.00002421286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009335142,0.000009661318,0.00004950438,0.00005503691,0.00002062936,0.000008172085,0.9985877,0.000107563,0.001068384],"genre_scores_gemma":[0.001057402,0.00005029838,0.0003082637,0.00005181491,0.00002221944,0.0001085671,0.9944267,0.000161128,0.00381363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6581359,"threshold_uncertainty_score":0.938751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3425762297921956,"score_gpt":0.3976848320112629,"score_spread":0.05510860221906733,"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."}}