{"id":"W4253960758","doi":"10.1007/978-3-642-41981-2_68-2","title":"Learning to Teach with Mobile Technologies: Pedagogical Implications In and Outside the Classroom","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University; Yorkville University","funders":"","keywords":"Argument (complex analysis); Reflection (computer programming); Identity (music); Pedagogy; Subject matter; Engineering ethics; Sociology; Mobile technology; Mobile device; Mathematics education; Psychology; Computer science; Engineering; Curriculum; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0003446945,0.0002454418,0.000218533,0.0002431547,0.0001892185,0.0001898464,0.001094226,0.0002637886,0.00009974051],"category_scores_gemma":[0.000103362,0.0001542817,0.00003019655,0.0001512051,0.0001979261,0.0001184376,0.0005892382,0.0008812926,0.0002299016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110564,"about_ca_system_score_gemma":0.0001270794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002058677,"about_ca_topic_score_gemma":0.0000936359,"domain_scores_codex":[0.9984967,0.00003652581,0.0002504821,0.0007345167,0.0002184703,0.0002632972],"domain_scores_gemma":[0.9983985,0.0002704211,0.000142722,0.001023022,0.0001088453,0.00005648614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001230992,0.00008603954,0.007615769,0.00003609406,0.00005036438,0.000007701891,0.0163198,0.001394546,0.00006404433,0.5622323,0.01236243,0.3998186],"study_design_scores_gemma":[0.0001289495,0.0007848816,0.002367486,0.0001346997,0.00001032233,0.0000684699,0.002925866,0.0008714719,0.00002306648,0.02140011,0.9708104,0.0004743321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01167545,0.0002993591,0.1902202,0.02199259,0.0002263046,0.002986212,0.000002726959,0.002093963,0.7705032],"genre_scores_gemma":[0.1203824,0.0001117203,0.05476235,0.0006318497,0.00015324,0.0009361521,0.000009704198,0.00006362216,0.8229489],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9584479,"threshold_uncertainty_score":0.6291425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03493539714470336,"score_gpt":0.3037892125858627,"score_spread":0.2688538154411593,"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."}}