{"id":"W1587603569","doi":"","title":"The Handheld: A Useful Tool to Collect Information in the Process of Authentic Assessment.","year":2008,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Mobile device; Process (computing); Computer science; World Wide Web","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":[0.004142951,0.000803989,0.0004938097,0.00211557,0.0006122878,0.001216112,0.001249144,0.001014776,0.02181804],"category_scores_gemma":[0.022456,0.0003603594,0.0002865889,0.001129401,0.0004276239,0.002217282,0.002187849,0.0008743569,0.01155539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000195417,"about_ca_system_score_gemma":0.000960979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006548351,"about_ca_topic_score_gemma":0.001075314,"domain_scores_codex":[0.9965767,0.001608437,0.000239716,0.0002816019,0.001195528,0.00009801226],"domain_scores_gemma":[0.9840261,0.009562854,0.0007533587,0.002254868,0.002615269,0.0007874978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001572708,0.0005004529,0.008523941,0.001501614,0.00006648513,0.0009096206,0.003322636,0.0002260623,0.05651867,0.001711722,0.07907223,0.8460739],"study_design_scores_gemma":[0.0008980643,0.00413615,0.1056183,0.0044702,0.0003131626,0.006638478,0.007665025,0.009810965,0.1588494,0.01347934,0.6872903,0.0008305484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1663813,0.006839722,0.6558937,0.00459887,0.002756877,0.01051607,0.02325997,0.04160658,0.08814697],"genre_scores_gemma":[0.2821708,0.002763563,0.6365678,0.001789414,0.0005562893,0.005770325,0.004828976,0.002151131,0.06340169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02181804,"threshold_uncertainty_score":0.07298863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06382413120279898,"score_gpt":0.3529445154863502,"score_spread":0.2891203842835512,"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."}}