{"id":"W4306195438","doi":"","title":"Ethical awarenesses arising from data collection in mathematics education at the time of the COVID-19 pandemic","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Ottawa","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Data collection; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Mathematics education; Data science; Virology; Mathematics; Medicine; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3640555,0.0004310298,0.001233344,0.002231167,0.01332866,0.01826722,0.003077995,0.01365425,0.006187505],"category_scores_gemma":[0.5676601,0.0009838711,0.001146217,0.00223438,0.03310614,0.009304477,0.01212618,0.03379111,0.001000855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01327714,"about_ca_system_score_gemma":0.04699713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01264983,"about_ca_topic_score_gemma":0.01788902,"domain_scores_codex":[0.5565897,0.367306,0.01408662,0.009786438,0.04098969,0.01124159],"domain_scores_gemma":[0.2598687,0.6136209,0.02850813,0.0290112,0.0451238,0.02386739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003481544,0.0002165632,0.02894982,0.0008650658,0.0001623728,0.002734671,0.39284,0.0007518841,0.001251174,0.3368876,0.1254819,0.1095109],"study_design_scores_gemma":[0.00008019331,0.0001959692,0.02031694,0.007801699,0.00007943148,0.003085068,0.2882296,0.001918734,0.001586219,0.2654143,0.4109972,0.0002947081],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04966826,0.004023076,0.01711606,0.8903136,0.004937201,0.0003225657,0.0002761843,0.00006751588,0.03327553],"genre_scores_gemma":[0.7436445,0.004057103,0.01827578,0.2158392,0.007016804,0.0008845383,0.0001890122,0.0002898326,0.009803308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3640555,"threshold_uncertainty_score":0.7842328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2102958204730194,"score_gpt":0.4103052598133192,"score_spread":0.2000094393402999,"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."}}