{"id":"W6932185033","doi":"10.5683/sp3/lqidlu","title":"Survey on Early Learning and Child Care Arrangements, 2019 [Canada]","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Child care; Pandemic; Face (sociological concept); Data collection; Cover (algebra); Child development","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":[],"consensus_categories":[],"category_scores_codex":[0.0002496065,0.0002253009,0.0003586485,0.00004611108,0.0001272436,0.0000513199,0.0001960777,0.0001454945,0.00008275755],"category_scores_gemma":[0.001010085,0.0001997092,0.00003177714,0.00006891328,0.00003042521,0.00001287249,0.00007211361,0.0004215276,0.0000146211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005936487,"about_ca_system_score_gemma":0.0000871017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8038858,"about_ca_topic_score_gemma":0.7053202,"domain_scores_codex":[0.9987067,0.000210421,0.0002278588,0.0003363395,0.0003088099,0.0002098459],"domain_scores_gemma":[0.9977389,0.001428513,0.0001642123,0.0004880491,0.00008112798,0.00009920729],"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":[0.000007436858,0.00001788539,0.0001356313,0.0001604412,0.00003686454,0.000002837079,0.00001751226,2.449874e-7,8.183488e-8,0.0009749429,0.9972279,0.001418205],"study_design_scores_gemma":[0.0001591852,0.00005796551,0.02054832,0.0001248999,0.00007522917,6.200165e-7,0.00003054594,0.000001860062,0.000001502837,0.0006864867,0.9780903,0.0002231067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001974549,0.0001552531,0.0002957199,0.00006592451,0.00007551719,0.000360287,0.9978099,0.00001500912,0.001202671],"genre_scores_gemma":[0.00001970976,0.0001588227,0.00204482,0.0001214632,0.0001009707,0.00003075788,0.9972348,0.00002976444,0.000258852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0985656,"threshold_uncertainty_score":0.8143904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05705752650113757,"score_gpt":0.3621611435087362,"score_spread":0.3051036170075986,"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."}}