{"id":"W3217265184","doi":"10.21009/jpud.151.01","title":"Moving Home Learning Program (MHLP) as an Adaptive Learning Strategy in Emergency Remote Teaching during the Covid-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"JPUD - Jurnal Pendidikan Usia Dini","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Pandemic; Principal (computer security); Coronavirus disease 2019 (COVID-19); Psychology; Closure (psychology); Early childhood; Mathematics education; Medical education; Computer science; Medicine; Political science; Developmental psychology; Computer security","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":[0.001600365,0.0001717138,0.0001108234,0.0003227536,0.001197931,0.0008994036,0.0008438419,0.0008944683,0.003389906],"category_scores_gemma":[0.002838666,0.00007983836,0.0002392884,0.0003194858,0.0009049135,0.001444386,0.002418796,0.0009671164,0.0003434023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009762932,"about_ca_system_score_gemma":0.001753111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001187679,"about_ca_topic_score_gemma":0.003150072,"domain_scores_codex":[0.9982069,0.001361628,0.00003529686,0.00006925673,0.0001065779,0.0002203062],"domain_scores_gemma":[0.9988692,0.0005728533,0.0001088304,0.00004544981,0.00006727278,0.0003362822],"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":[0.0002226346,0.003776011,0.01635528,0.001381535,0.0000219983,0.003562419,0.1063709,0.001505269,0.003022741,0.01149374,0.01769961,0.8345879],"study_design_scores_gemma":[0.0003475054,0.007896505,0.1427025,0.00323466,0.0001694866,0.005322666,0.4834914,0.004732037,0.007659298,0.008873588,0.3353829,0.0001875011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8849605,0.001786774,0.01106499,0.00929565,0.0002951382,0.0009854917,0.0000970529,0.0002465657,0.09126777],"genre_scores_gemma":[0.9712934,0.001640104,0.01687389,0.001025347,0.00005611072,0.0006459117,0.0000571634,0.00002122527,0.008386673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003389906,"threshold_uncertainty_score":0.01134032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0665765292070337,"score_gpt":0.3858568463413922,"score_spread":0.3192803171343584,"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."}}