{"id":"W4394265998","doi":"10.6084/m9.figshare.4213200.v1","title":"BIO205 2016 Tut0104 Census 2 Data.xlsx","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; 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":[0.001282484,0.001328673,0.001072207,0.004095448,0.0007110548,0.002221882,0.00174669,0.001030877,0.1469086],"category_scores_gemma":[0.009167084,0.0007803333,0.0007667979,0.008963059,0.0003631901,0.0009193571,0.001438654,0.001370019,0.134053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619302,"about_ca_system_score_gemma":0.00414261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05644521,"about_ca_topic_score_gemma":0.0813968,"domain_scores_codex":[0.9992232,0.0001175712,0.0001457782,0.0001826084,0.0001946871,0.0001361163],"domain_scores_gemma":[0.9959193,0.0009683931,0.0004590596,0.0009367271,0.001271673,0.0004448706],"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":[0.00003488151,0.000007733594,0.0008131507,0.0002502682,0.00001330054,0.0000114417,0.0000159634,0.0001434364,0.00005522138,0.0003103235,0.9972752,0.001069148],"study_design_scores_gemma":[0.0001914002,0.0000120293,0.007669406,0.0002065217,0.00002083184,0.00004064278,0.00008728418,0.0001585331,0.0002223555,0.0007833283,0.9905849,0.00002281138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005436107,0.0000109697,0.00002611369,0.00003786767,0.00001410301,0.000004978256,0.9994243,0.00009142466,0.0003359261],"genre_scores_gemma":[0.0003703522,0.00003146926,0.0001300063,0.00003214572,0.00001130289,0.00006093691,0.9984132,0.00006922707,0.0008814171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8530914,"threshold_uncertainty_score":0.4914582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2894970835566923,"score_gpt":0.4091020213307962,"score_spread":0.1196049377741039,"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."}}