{"id":"W2517882609","doi":"","title":"ECEL 2015 - Proceedings of the 14th European Conference on e-Learning","year":2015,"lang":"en","type":"book","venue":"","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Subject (documents); Work (physics); Political science; Czech; Media studies; Sociology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008077049,0.001257819,0.001466508,0.001640192,0.001449634,0.01164034,0.002788509,0.003455737,0.1504293],"category_scores_gemma":[0.008349783,0.0003136051,0.0008975728,0.001100521,0.002060442,0.006436291,0.005663306,0.003958253,0.08249331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003247468,"about_ca_system_score_gemma":0.005925705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002110346,"about_ca_topic_score_gemma":0.002699335,"domain_scores_codex":[0.995609,0.001030697,0.0002786479,0.000604683,0.00180354,0.0006734638],"domain_scores_gemma":[0.9909712,0.001581918,0.000267114,0.0008790353,0.002922425,0.00337832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003525086,0.0003768801,0.0005058408,0.0007934893,0.00003838456,0.0003470451,0.0004325823,0.0007005217,0.00247836,0.0192766,0.7868847,0.187813],"study_design_scores_gemma":[0.00001843679,0.00005171331,0.0007398219,0.000335528,0.000007842968,0.0001580447,0.0002057911,0.0004730414,0.0008081751,0.002113985,0.995067,0.00002051413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0217208,0.0885456,0.07622876,0.05103962,0.2054278,0.001930284,0.006279141,0.00701977,0.5418082],"genre_scores_gemma":[0.05318856,0.02418027,0.02593857,0.007889687,0.011725,0.001023996,0.01448015,0.002978435,0.8585954],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1504293,"threshold_uncertainty_score":0.5032362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754415527456488,"score_gpt":0.2549780370526128,"score_spread":0.227433881778048,"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."}}