{"id":"W2122910265","doi":"10.11139/cj.28.3.699-720","title":"(Re)Conceptualizing Design Approaches for Mobile Language Learning","year":2011,"lang":"en","type":"article","venue":"CALICO Journal","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"George Brown College; Athabasca University","funders":"","keywords":"Computer science; Language acquisition; Constructivism (international relations); Language education; Context (archaeology); Social constructivism; Mathematics education; Active listening; Pedagogy; Exploratory research; Language assessment; Instructional design; Multimedia; Psychology; Sociology; Communication","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":[],"consensus_categories":[],"category_scores_codex":[0.00105981,0.0001209362,0.0001366452,0.0001077496,0.0003180004,0.0001971123,0.0006722071,0.00007026104,0.0001323081],"category_scores_gemma":[0.0002176649,0.0001098964,0.00009133801,0.000165156,0.00004405235,0.0004380042,0.00006920231,0.0003933758,0.00003894139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007421587,"about_ca_system_score_gemma":0.0001126922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005634347,"about_ca_topic_score_gemma":5.817446e-7,"domain_scores_codex":[0.9987456,0.0002625007,0.0002423922,0.0002401114,0.0001809702,0.0003284093],"domain_scores_gemma":[0.9991267,0.0001857978,0.0002131916,0.0002506253,0.00007945178,0.0001442018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003773081,0.0003104939,0.003472112,0.00005027903,0.00009027868,0.00004026279,0.2813101,0.02257474,0.002120774,0.01630978,0.00792872,0.6657547],"study_design_scores_gemma":[0.003258904,0.003169192,0.004009063,0.0003132225,0.0001184507,0.001383728,0.0960265,0.7186306,0.05009944,0.01627593,0.1045671,0.002147852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01985378,0.000542796,0.9762796,0.00007485664,0.0006295306,0.0002408941,2.291749e-7,0.0001159164,0.002262409],"genre_scores_gemma":[0.7397352,0.00001016894,0.2589946,0.0001362976,0.0003968847,0.0001055605,0.000001307421,0.00002018967,0.0005997639],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7198814,"threshold_uncertainty_score":0.4481446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1312008334942171,"score_gpt":0.2951427024976288,"score_spread":0.1639418690034117,"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."}}