{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001045088,0.0001260841,0.0001570161,0.0008700702,0.0008750025,0.0003605224,0.0009421464,0.00006552442,0.0001199495],"category_scores_gemma":[0.0006389282,0.000143895,0.00003557895,0.002402405,0.00009207692,0.0007880266,0.001075136,0.0005735576,0.0003228388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001466636,"about_ca_system_score_gemma":0.000007274929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005882563,"about_ca_topic_score_gemma":0.00000464538,"domain_scores_codex":[0.9982018,0.0004640408,0.0002387339,0.000486397,0.000292376,0.0003166627],"domain_scores_gemma":[0.9990759,0.00003944897,0.0001534205,0.0003997638,0.0002533938,0.00007802567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004125229,0.0005073823,0.002288245,0.0004947261,0.00005315839,0.00004703504,0.008773523,0.0619923,0.08342405,0.002999622,0.001022006,0.8379854],"study_design_scores_gemma":[0.001083286,0.001803925,0.03761452,0.0003762156,0.000009095173,0.00004404451,0.002686013,0.8036549,0.004693899,0.00009335917,0.1475185,0.0004221853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436108,0.0000102966,0.05308159,0.0005579479,0.00004943506,0.0002897202,0.000007674312,0.001009919,0.001382557],"genre_scores_gemma":[0.9972972,0.00002053488,0.002054687,0.00001708567,0.0000118577,3.381649e-7,0.00007520078,0.0002459195,0.0002772206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8375632,"threshold_uncertainty_score":0.67299,"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."}}