{"id":"W2969513644","doi":"10.4018/ijmbl.2019100103","title":"All Together Now","year":2019,"lang":"en","type":"article","venue":"International Journal of Mobile and Blended Learning","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Disabled people; Work (physics); Mobile device; Psychology; Learning disability; Multimedia; Multiple disabilities; Computer science; Medical education; Internet privacy; Pedagogy; Mathematics education; Applied psychology; World Wide Web; Engineering; Medicine; Developmental psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004784673,0.0009482341,0.0005961802,0.0009430287,0.005991934,0.005737818,0.00100284,0.00173954,0.5570884],"category_scores_gemma":[0.001912587,0.0002964858,0.0007371362,0.0006223927,0.0007830051,0.004830235,0.007906951,0.002998896,0.3192787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008011921,"about_ca_system_score_gemma":0.001267077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004534078,"about_ca_topic_score_gemma":0.01446317,"domain_scores_codex":[0.9991472,0.0001006081,0.00003234648,0.0001600869,0.0003258329,0.0002338345],"domain_scores_gemma":[0.9983364,0.00005188861,0.00004930203,0.0001202152,0.0004214254,0.001020816],"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":[0.0001178528,0.0002262402,0.001502575,0.0001312268,0.00001441265,0.0003812544,0.003000317,0.00005183654,0.002125552,0.007712692,0.749851,0.234885],"study_design_scores_gemma":[0.000003004406,0.00002813425,0.0005694031,0.00002796994,0.000003435527,0.0001374187,0.001143104,0.00002140423,0.0001786426,0.0005251188,0.997353,0.000009457296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01189253,0.001507219,0.005655807,0.01615478,0.01073216,0.0002759707,0.001372815,0.003621774,0.948787],"genre_scores_gemma":[0.01316978,0.0004349873,0.001760342,0.003333114,0.0003592486,0.00005310963,0.0006222823,0.0004129393,0.979854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5570884,"threshold_uncertainty_score":0.6317596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137154970589176,"score_gpt":0.3199254488394812,"score_spread":0.3062099517805635,"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."}}