{"id":"W6925397885","doi":"10.17910/b7.390","title":"Starter-ACLEW","year":2017,"lang":"en","type":"dataset","venue":"","topic":"Digital Education and Society","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Set (abstract data type); Work (physics); Process (computing); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007270926,0.0001025404,0.0001122545,0.00002328087,0.0001007721,0.0009741538,0.002056842,0.00009023359,0.0002833854],"category_scores_gemma":[0.00002726199,0.00008659233,0.00007334042,0.00003220495,0.00003256701,0.0004259242,0.0003098573,0.0001133519,0.002800312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000191999,"about_ca_system_score_gemma":0.0001955722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007951014,"about_ca_topic_score_gemma":0.00002508804,"domain_scores_codex":[0.9993578,0.000008175805,0.00009187952,0.0002426729,0.0001663868,0.0001330795],"domain_scores_gemma":[0.9982892,0.00001432682,0.00008146289,0.001491279,0.00003665682,0.00008707259],"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":[5.003675e-8,0.00002748118,2.655087e-7,0.000008155154,0.000005229935,0.000001694729,0.00001892689,1.835304e-8,4.08277e-8,0.0007060408,0.9968772,0.00235493],"study_design_scores_gemma":[0.00003163767,0.00001073927,0.000029577,0.000006924663,0.000001635801,0.000001870626,0.000005285498,0.00001629711,0.000001311759,0.0003923933,0.9993854,0.0001168819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.49104e-7,0.00001858735,0.002191389,0.0009057265,0.001448548,0.0000515267,0.9796503,0.00004831781,0.01568521],"genre_scores_gemma":[0.00000565239,0.00003380221,0.001303026,0.001807519,0.00009725733,0.000005809319,0.9831815,0.000002415959,0.01356301],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003531256,"threshold_uncertainty_score":0.9979761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515528868903965,"score_gpt":0.3243706357571124,"score_spread":0.2992153470680727,"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."}}