{"id":"W6995460905","doi":"","title":"Official statistics : Child development outcomes at 2-2½
\\nyears (experimental statistics) : Quarter 4 2018/19 statistical commentary (July 2019)","year":2019,"lang":"en","type":"other","venue":"Digital Education Resource Archive (University College London)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Official statistics; Statistical analysis; Child development; Data collection; Population statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02800964,0.00102742,0.001459363,0.004639496,0.002451671,0.00491048,0.003412683,0.007170385,0.1250558],"category_scores_gemma":[0.1241078,0.001212113,0.001461687,0.007739353,0.001752954,0.002514917,0.00348238,0.009143263,0.0645723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008312359,"about_ca_system_score_gemma":0.0239854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1841838,"about_ca_topic_score_gemma":0.1893131,"domain_scores_codex":[0.9766025,0.005295505,0.002162314,0.001004952,0.01207615,0.002858671],"domain_scores_gemma":[0.9130615,0.03464254,0.004782017,0.004592628,0.03829458,0.004626791],"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":[0.00004320892,0.000007712633,0.0001510502,0.00003658682,0.000002148892,0.000003919079,0.00002423043,0.000009832494,0.00000934233,0.001513699,0.9968244,0.001373973],"study_design_scores_gemma":[0.0001985994,0.0000406415,0.009193734,0.0006377446,0.00002533022,0.00001271126,0.0002744415,0.00009710074,0.0002125648,0.002071824,0.9871861,0.00004919442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.002337712,0.002531055,0.00128368,0.2884555,0.06860071,0.0008214605,0.4732577,0.00209407,0.1606181],"genre_scores_gemma":[0.01633596,0.003588466,0.003320373,0.2235855,0.02098071,0.009276607,0.1611132,0.002858713,0.5589405],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1841838,"threshold_uncertainty_score":0.4183533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006144938830423963,"score_gpt":0.2234616102302808,"score_spread":0.2173166713998569,"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."}}