{"id":"W2584835316","doi":"10.21432/t2ww4j","title":"The Interactive Whiteboard: Uses, Benefits, and Challenges. A survey of 11,683 Students and 1,131 Teachers | Le tableau blanc interactif : usages, avantages et défis. Une enquête auprès de 11 683 élèves et 1131 enseignants","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Interactive whiteboard; Whiteboard; Library science; Psychology; Sociology; Mathematics education; Computer science; Multimedia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002665465,0.0001357039,0.0002812569,0.0003930168,0.001188743,0.0002563161,0.0004366667,0.0002753958,0.000009598107],"category_scores_gemma":[0.003446112,0.0001127353,0.00002547462,0.0001337204,0.001122189,0.0002999603,0.00006883545,0.0008170007,5.518764e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003049,"about_ca_system_score_gemma":0.0009078512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.110053,"about_ca_topic_score_gemma":0.832962,"domain_scores_codex":[0.9985166,0.0005653901,0.0002776145,0.0001919086,0.0001334495,0.0003150943],"domain_scores_gemma":[0.9983667,0.0004088482,0.0005727017,0.0001755831,0.0002800797,0.0001961425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001234469,0.00002324619,0.9254453,0.000006735631,0.00007144859,0.00001703939,0.02072115,0.000001508802,0.00004915784,0.007507793,0.0001390536,0.0460052],"study_design_scores_gemma":[0.0007257757,0.0002973359,0.66799,0.0003673877,0.00004778242,0.0001719998,0.2667726,0.00002382858,0.0001915038,0.002084117,0.06110606,0.0002216499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583978,0.005666094,0.00001376253,0.03510293,0.0001920574,0.00009798876,0.000008428025,0.00002056364,0.0005003596],"genre_scores_gemma":[0.9837673,0.01574989,0.00009723454,0.00004039313,0.00002083385,0.000004838912,0.000001990456,0.00001232027,0.000305181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7229091,"threshold_uncertainty_score":0.914297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05254213095630578,"score_gpt":0.3459953775263243,"score_spread":0.2934532465700185,"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."}}