{"id":"W4200101515","doi":"10.1136/archdischild-2021-323158","title":"Hacking childhood: will future technologies undermine, or enable, optimal early childhood development?","year":2021,"lang":"en","type":"article","venue":"Archives of Disease in Childhood","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Community Based Research Centre","funders":"National Institute for Health and Care Research","keywords":"Medicine; Early childhood; Hacker; Developmental psychology; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002029048,0.0004417687,0.0005822814,0.0006485375,0.0005279092,0.0001576733,0.001071182,0.0002571556,0.0001229557],"category_scores_gemma":[0.001092513,0.0004155042,0.0002242865,0.00140214,0.0007145143,0.0007044899,0.0007202688,0.0005323178,0.00002286421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007463642,"about_ca_system_score_gemma":0.002829904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005045154,"about_ca_topic_score_gemma":0.0006871487,"domain_scores_codex":[0.9965806,0.0001400534,0.0007702936,0.0008715575,0.0006455396,0.0009919634],"domain_scores_gemma":[0.9983703,0.0003731966,0.0002586527,0.0006385944,0.00007486122,0.0002843311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003107308,0.005914806,0.2555946,0.0001554488,0.0005045446,0.0007334338,0.09961652,0.0001010536,0.00009954648,0.1024344,0.0004905481,0.5340444],"study_design_scores_gemma":[0.001869129,0.00007806148,0.9247484,0.0005212839,0.0000407501,0.00001064477,0.01861431,0.000003989826,0.001932782,0.036427,0.01494947,0.0008041397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583892,0.002653121,0.0001310348,0.005008321,0.0002816486,0.000715482,0.00005844958,0.0008198755,0.03194285],"genre_scores_gemma":[0.9890307,0.001182211,0.008581526,0.0001919732,0.0002082623,0.0000572418,0.00009319262,0.00005094866,0.0006039845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6691539,"threshold_uncertainty_score":0.9998296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059679920229586,"score_gpt":0.249011488633026,"score_spread":0.2384146894307301,"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."}}