{"id":"W2916435722","doi":"10.6084/m9.figshare.4244798.v1","title":"BIO205 2016 Tut0102 Census 3 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; 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":[0.001031927,0.000870652,0.0008046773,0.004401795,0.0006737399,0.002200678,0.001252719,0.0007319953,0.4239264],"category_scores_gemma":[0.01090423,0.0007057391,0.0005261525,0.01152328,0.0002490577,0.0009358231,0.001297668,0.0009993527,0.2141583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312941,"about_ca_system_score_gemma":0.003222611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05883585,"about_ca_topic_score_gemma":0.07248625,"domain_scores_codex":[0.9992156,0.0001128926,0.0001659465,0.000136644,0.0002306976,0.0001382395],"domain_scores_gemma":[0.9945518,0.001603187,0.0006608858,0.00096809,0.00180762,0.0004084383],"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":[0.00004116959,0.000006281868,0.001051123,0.0002708976,0.00001180382,0.00001448622,0.00002480498,0.0001199252,0.00005602884,0.0004612757,0.9957749,0.002167359],"study_design_scores_gemma":[0.0001275727,0.000011533,0.01124128,0.0002500837,0.00001618046,0.00003784022,0.0001156811,0.0001401136,0.000262359,0.0007632152,0.9870117,0.00002237461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006989736,0.000007772907,0.00003928732,0.00005230265,0.00001925818,0.000007015443,0.9985093,0.0001174666,0.001177675],"genre_scores_gemma":[0.00114638,0.00005433177,0.0003573643,0.00006706583,0.00002580057,0.0001114758,0.9937017,0.0002567233,0.004279163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5760736,"threshold_uncertainty_score":0.8216991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3495809516559899,"score_gpt":0.3982651696607007,"score_spread":0.04868421800471079,"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."}}