{"id":"W4312178630","doi":"10.18357/otessac.2022.2.1.137","title":"Digital Platforms and Algorithmic Erasure: What are the Implications?","year":2022,"lang":"en","type":"article","venue":"The Open/Technology in Education Society and Scholarship Association Conference","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity Western University; University of Victoria","funders":"","keywords":"Commit; Zoom; Internet privacy; Field (mathematics); Government (linguistics); Computer science; Erasure; Computer security; Data science; World Wide Web; Multimedia; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002542657,0.0001262275,0.0002252956,0.0001014938,0.001019649,0.0009483607,0.0007801121,0.0001796403,0.00006953064],"category_scores_gemma":[0.0008974312,0.0001105726,0.00004393363,0.0007846479,0.0001406989,0.001500663,0.000534715,0.000891101,0.00002015644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006667366,"about_ca_system_score_gemma":0.0002467051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005160237,"about_ca_topic_score_gemma":0.00002858469,"domain_scores_codex":[0.9988924,0.00003595306,0.0003862375,0.000358129,0.0000762702,0.0002509878],"domain_scores_gemma":[0.9985058,0.0003645768,0.0006164147,0.000384056,0.00008955173,0.0000395705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004792587,0.00008117047,0.7744279,0.000005989231,0.00004085328,7.05092e-8,0.003040231,0.000008490029,0.00001426089,0.1993188,0.001137651,0.02191978],"study_design_scores_gemma":[0.0004623783,0.00002673829,0.3765421,0.0000183728,0.000008256516,0.00001222864,0.02282805,0.0003031398,0.00001129499,0.5717055,0.02788432,0.0001976755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8426551,0.004414733,0.0001879774,0.1508977,0.0003846791,0.0007113179,0.00009328507,0.00004311527,0.0006121637],"genre_scores_gemma":[0.9916719,0.002249368,0.00008650197,0.004418385,0.0000308847,0.0004175408,0.00002419857,0.00001105223,0.001090236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3978859,"threshold_uncertainty_score":0.9145064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05978939182392529,"score_gpt":0.2954673317128462,"score_spread":0.2356779398889209,"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."}}