{"id":"W6921868301","doi":"10.7939/dvn/10809","title":"September 2013 - May 2016 - Desk Tracker Data","year":2016,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Desk; Data collection; Tracking (education); Window (computing); Period (music)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001164122,0.002574981,0.001724258,0.003782388,0.0009424089,0.002227589,0.002479386,0.001583084,0.02559873],"category_scores_gemma":[0.00554178,0.0006758187,0.001072315,0.00752618,0.0005657322,0.001739354,0.001824283,0.001741116,0.09335801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002697648,"about_ca_system_score_gemma":0.004166735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1405491,"about_ca_topic_score_gemma":0.2512363,"domain_scores_codex":[0.9978333,0.000190885,0.0002132433,0.0005976963,0.0008047135,0.0003601201],"domain_scores_gemma":[0.996927,0.0002121761,0.0002450706,0.000705153,0.001555954,0.0003546283],"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":[0.0000797334,0.00001713781,0.001099983,0.0001502793,0.0000162742,0.00002076005,0.00002088523,0.0002170961,0.0001204428,0.0001842392,0.9958877,0.002185588],"study_design_scores_gemma":[0.0000903796,0.00001880199,0.01282052,0.0001255487,0.00002406621,0.00007817204,0.0001538493,0.0006510624,0.000638375,0.0006082425,0.9847415,0.00004945294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000415832,0.00008927356,0.000110346,0.0000557485,0.00007137022,0.00001257835,0.9969421,0.000929705,0.001373087],"genre_scores_gemma":[0.0006489901,0.00003951965,0.000181037,0.00002552605,0.0000125984,0.00002191942,0.9977315,0.00009331506,0.00124556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1405491,"threshold_uncertainty_score":0.2794621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05567436951663149,"score_gpt":0.3228704112455018,"score_spread":0.2671960417288702,"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."}}