{"id":"W4286945420","doi":"10.1007/s12144-022-03497-x","title":"Personalization and pauses in speech: Children’s learning performance via instructional videos","year":2022,"lang":"en","type":"article","venue":"Current Psychology","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Federation for the Humanities and Social Sciences","keywords":"Personalization; Popularity; Psychology; Cognition; Tracking (education); Multimedia; Cognitive load; Cognitive psychology; Computer science; Social psychology; World Wide Web; Pedagogy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001381304,0.0001593805,0.0001943299,0.0004140877,0.0003858477,0.00001230902,0.0001574756,0.00006892511,0.00230912],"category_scores_gemma":[0.00007388701,0.0001770294,0.00003199424,0.0004882265,0.0001300488,0.00007286695,0.00008600001,0.001462082,0.00004396899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000671045,"about_ca_system_score_gemma":0.00001836704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000298883,"about_ca_topic_score_gemma":0.000002028429,"domain_scores_codex":[0.9971002,0.001625703,0.0002940151,0.0004949069,0.0001707105,0.0003144112],"domain_scores_gemma":[0.9995064,0.00009060076,0.0001630981,0.0001694878,0.0000327122,0.00003768471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009712685,0.0001505388,0.629558,0.000009072693,0.00001916733,0.000003382057,0.002551728,0.0001009528,0.0002072767,0.001638796,0.000867785,0.3647961],"study_design_scores_gemma":[0.001074452,0.0002682366,0.9315424,0.00001131745,0.000007279461,0.0004763048,0.0002180412,0.0002645179,0.000005005639,0.0002751652,0.06567056,0.0001867118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872364,0.0009393799,0.005223674,0.0002922648,0.003428634,0.0001546908,0.000004851994,0.00009054383,0.002629602],"genre_scores_gemma":[0.9980178,0.00004040337,0.0008130337,0.0003112397,0.0002460451,0.00008900665,0.00008817019,0.00002549833,0.0003688349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3646094,"threshold_uncertainty_score":0.9986029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04713679227297649,"score_gpt":0.3905431206544772,"score_spread":0.3434063283815006,"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."}}