{"id":"W4380562398","doi":"10.5281/zenodo.8035733","title":"Teaching LESLLA Learners How to Use Chromebooks: Challenges and Possibilities","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Mennonite University","funders":"","keywords":"Mathematics education; Computer science; Psychology; Pedagogy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004461186,0.0005009842,0.0004019511,0.0004288889,0.00314736,0.007231147,0.001525948,0.001528653,0.004929476],"category_scores_gemma":[0.00595947,0.0002752361,0.0003399029,0.000304978,0.002374849,0.006087441,0.003935751,0.002282412,0.001736044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009853743,"about_ca_system_score_gemma":0.002711622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002085615,"about_ca_topic_score_gemma":0.006220208,"domain_scores_codex":[0.9981974,0.000868798,0.00005759563,0.000177789,0.0003248896,0.0003735553],"domain_scores_gemma":[0.9968581,0.001582399,0.0001720131,0.0001570798,0.0004178543,0.0008126296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002199674,0.00476857,0.04588252,0.001467447,0.00003028314,0.005409717,0.4038843,0.0005475356,0.02086528,0.0267732,0.01363683,0.4765143],"study_design_scores_gemma":[0.00006088372,0.001347579,0.01703754,0.001292206,0.00004189408,0.002687794,0.7467695,0.001509095,0.01173994,0.02003335,0.1973312,0.0001489565],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006869,0.001511897,0.01667656,0.01900797,0.0002140454,0.0003251538,0.00007184785,0.0003994933,0.06110615],"genre_scores_gemma":[0.9385428,0.002369221,0.02977794,0.001814605,0.00004956717,0.0004217314,0.00008130253,0.0001059085,0.02683694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007231147,"threshold_uncertainty_score":0.02359331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04448296604324106,"score_gpt":0.2527504612478544,"score_spread":0.2082674952046134,"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."}}