{"id":"W4392582309","doi":"10.5194/egusphere-egu24-9830","title":"Engaging with Local Spaces: Student-created digital field tours to facilitate community learning","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Geological Survey of Canada; University of Waterloo; University of Toronto; The Scarborough Hospital","funders":"","keywords":"Field (mathematics); Digital learning; Multimedia; Mathematics education; Computer science; Sociology; Psychology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007850522,0.0004018568,0.0003527406,0.0002993821,0.0003313609,0.002423043,0.00197332,0.0001861293,0.00005322889],"category_scores_gemma":[0.0002498992,0.0003438359,0.00009625825,0.0004779241,0.00006608902,0.000264674,0.005253054,0.004561375,0.0004358642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000259893,"about_ca_system_score_gemma":0.0002956584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052015,"about_ca_topic_score_gemma":0.0002010264,"domain_scores_codex":[0.9973962,0.0005061007,0.0003215096,0.0007751047,0.0005579002,0.0004431903],"domain_scores_gemma":[0.9973809,0.0007436985,0.0001162974,0.00135383,0.0001793716,0.0002259645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004088814,0.0004034703,0.02127642,0.0006543385,0.0004011597,0.00008884796,0.1544964,0.4970927,0.00002981289,0.003363486,0.008797824,0.3133546],"study_design_scores_gemma":[0.002232703,0.008144733,0.02600521,0.01171047,0.0004271663,0.0003299904,0.2499652,0.5169114,0.00298867,0.02451055,0.1468057,0.009968224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3260768,0.00005753185,0.6343285,0.002994044,0.000799983,0.0004930288,0.000004027273,0.001110255,0.03413579],"genre_scores_gemma":[0.9772989,0.000003700097,0.01117964,0.0003307766,0.00007508085,0.0001175428,0.0000401488,0.00003483006,0.01091942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.651222,"threshold_uncertainty_score":0.9999014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03489988920782926,"score_gpt":0.2928682173822613,"score_spread":0.257968328174432,"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."}}