{"id":"W4225127346","doi":"10.1145/3491101.3514489","title":"DOÜ: From School to Home","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","topic":"Family and Disability Support Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Context (archaeology); State (computer science); Product (mathematics); Psychology; Pandemic; Pedagogy; Medical education; Public relations; Mathematics education; Computer science; Coronavirus disease 2019 (COVID-19); Political science; Medicine; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001483422,0.0004131311,0.0006264159,0.0005080722,0.0006122292,0.000256493,0.00110266,0.0001695774,0.00515234],"category_scores_gemma":[0.0002212364,0.00042017,0.0001302109,0.0004157947,0.0001085235,0.00009094399,0.000423201,0.001488977,0.0008210345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005372611,"about_ca_system_score_gemma":0.0001986045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008568185,"about_ca_topic_score_gemma":0.0002194675,"domain_scores_codex":[0.995076,0.0008726399,0.001011542,0.00119434,0.0008868467,0.0009586344],"domain_scores_gemma":[0.997339,0.0006829824,0.0002605568,0.001131429,0.00009055709,0.0004955042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008415047,0.006630728,0.7315069,0.0002894907,0.0004537199,0.001209753,0.0480977,0.03381072,0.01028092,0.1251306,0.0280967,0.01365125],"study_design_scores_gemma":[0.0008866213,0.0004683144,0.9756067,0.0001401237,0.000006810636,0.000008929444,0.0190375,0.000325336,0.000100156,0.001570418,0.001288379,0.0005606623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465233,0.00005960013,0.00005450045,0.0001205958,0.002808576,0.0008966281,0.0001478648,0.0002097848,0.04917916],"genre_scores_gemma":[0.9978547,3.691358e-7,0.00003028829,0.0002241083,0.0002692486,0.0001054604,0.0001740367,0.00004747523,0.001294339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2440998,"threshold_uncertainty_score":0.999957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421752863178374,"score_gpt":0.3953652442402878,"score_spread":0.2531899579224504,"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."}}