{"id":"W6894094620","doi":"10.5281/zenodo.7707782","title":"PROJECT TALA (TECHNOLOGY-BASED ACTIVITY AND LEARNING ASSISTANT): AN INTERVENTION TO MAXIMIZE PERFORMANCE OF ICT LEARNERS IN MODULAR DISTANCE LEARNING","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distance education; Intervention (counseling); Java; E learning; Information and Communications Technology; Modular design; Quarter (Canadian coin); Synchronous learning","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":[0.000961109,0.0004423317,0.0005461544,0.0004570989,0.0005622052,0.0004360745,0.0006978951,0.0005987769,0.002419134],"category_scores_gemma":[0.002500883,0.0001523193,0.0002553602,0.0001879839,0.0002529185,0.0004231806,0.001355145,0.0006537072,0.0004139754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384332,"about_ca_system_score_gemma":0.001160925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002885688,"about_ca_topic_score_gemma":0.0004268336,"domain_scores_codex":[0.9991195,0.0004450792,0.00005473072,0.0001332655,0.000123061,0.0001243544],"domain_scores_gemma":[0.9990366,0.0002865009,0.0001274725,0.00005861382,0.0000812971,0.0004096443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.006542246,0.124141,0.01591562,0.002326064,0.0001040075,0.0007262381,0.006568907,0.001419368,0.04363714,0.001131125,0.003548485,0.7939398],"study_design_scores_gemma":[0.01463692,0.3947637,0.4078531,0.001776264,0.0005906608,0.002573929,0.01939449,0.01308693,0.08554175,0.003230077,0.0562836,0.0002686237],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916096,0.0001349386,0.00457761,0.0001749287,0.00004772695,0.001191844,0.0000431379,0.0001584949,0.002061572],"genre_scores_gemma":[0.9612422,0.0003559091,0.02998933,0.0001812132,0.00002884271,0.003981167,0.000109671,0.00001222761,0.004099459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002419134,"threshold_uncertainty_score":0.008092821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03014680052505279,"score_gpt":0.2776940795297997,"score_spread":0.247547279004747,"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."}}