{"id":"W3132605556","doi":"","title":"Exploring Mobile Learning with High School Students in a Remote Area of Peru","year":2018,"lang":"en","type":"article","venue":"EdMedia + Innovate Learning","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Mobile device; Mathematics education; Computer science; Geography; Psychology; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001430838,0.0002995218,0.0004023499,0.0007596039,0.0002373448,0.0001987573,0.001210158,0.0001055825,0.0001243389],"category_scores_gemma":[0.0009059741,0.000289616,0.0000409592,0.002921532,0.0001729516,0.001133144,0.0004929883,0.001471687,0.0001904658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043565,"about_ca_system_score_gemma":0.0002188703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002626733,"about_ca_topic_score_gemma":0.00002706352,"domain_scores_codex":[0.9967158,0.0003472696,0.0006356368,0.0007570509,0.0008962984,0.0006479684],"domain_scores_gemma":[0.9979811,0.000254359,0.000500992,0.0006468363,0.0004804329,0.0001363211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000092379,0.0002304669,0.8095078,0.0001006535,0.00006826505,0.00005769904,0.02497482,0.0282184,0.006692794,0.001140727,0.00009747894,0.1288185],"study_design_scores_gemma":[0.004950342,0.005610263,0.8531806,0.002770358,0.00004040232,0.0001104585,0.007646287,0.06749487,0.02063301,0.0009378914,0.0344282,0.002197359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747882,0.00004065687,0.02194782,0.0002475801,0.000918597,0.0003570383,1.939437e-7,0.000303519,0.001396363],"genre_scores_gemma":[0.9760748,0.00003696868,0.02235438,0.00007027264,0.000426129,0.000106722,0.000008871135,0.00005115688,0.0008707742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1266212,"threshold_uncertainty_score":0.9999556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03487541219276972,"score_gpt":0.2803508690900512,"score_spread":0.2454754568972815,"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."}}