{"id":"W2948806129","doi":"10.1111/bjet.12828","title":"“Lifelong learning Ecologies: Linking formal and informal contexts of learning in the digital era”","year":2019,"lang":"en","type":"article","venue":"British Journal of Educational Technology","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Lifelong learning; Formal learning; Informal learning; Educational technology; Sociology; Informal education; Formal education; Digital learning; Pedagogy; Psychology; Mathematics education; Higher education; Political science","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":[0.003205282,0.000462969,0.0003826485,0.004737019,0.004101929,0.01607493,0.001459741,0.001609405,0.006469099],"category_scores_gemma":[0.007847063,0.000419882,0.0005517509,0.003549329,0.01909271,0.01927572,0.01624046,0.002074586,0.0007759665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004000603,"about_ca_system_score_gemma":0.005350674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004038848,"about_ca_topic_score_gemma":0.008002347,"domain_scores_codex":[0.9968342,0.001761101,0.0001341907,0.0005554316,0.0003610371,0.0003540642],"domain_scores_gemma":[0.9938754,0.003006737,0.0008646784,0.0006671491,0.0006166417,0.0009692771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000607209,0.0001588685,0.03363707,0.0008524565,0.00006355011,0.0006735667,0.1868554,0.0006284253,0.0005823442,0.6486958,0.005984487,0.1218075],"study_design_scores_gemma":[0.00002883621,0.0001001861,0.0576482,0.00205086,0.00007088552,0.001020666,0.2089357,0.001850631,0.0004694366,0.4671572,0.2605309,0.0001364112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4329798,0.02580032,0.13766,0.03975495,0.0009040685,0.0006086685,0.001063176,0.0004507754,0.3607782],"genre_scores_gemma":[0.9677971,0.004277531,0.01876802,0.001508149,0.0001143521,0.0003527751,0.000332049,0.0001009949,0.006749057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01607493,"threshold_uncertainty_score":0.02902657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005789070282591745,"score_gpt":0.2435989376923843,"score_spread":0.2378098674097926,"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."}}