{"id":"W2995016348","doi":"","title":"Sense of Irony or Perfect Timing: Examining the Research Supporting Proposed e-Learning Changes in Ontario","year":2019,"lang":"en","type":"article","venue":"Touro Scholar (Touro College)","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ligne; Humanities; Political science; Sociology; Library science; Art; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01487678,0.0003227727,0.0005309873,0.003343018,0.02605951,0.01030203,0.003016736,0.001505064,0.004191341],"category_scores_gemma":[0.04811407,0.0006863768,0.0004254701,0.00847875,0.02479294,0.005539768,0.007128327,0.002572475,0.000207469],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2336045,"about_ca_system_score_gemma":0.2903037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893125,"about_ca_topic_score_gemma":0.995565,"domain_scores_codex":[0.9889686,0.002150205,0.0005852923,0.001108064,0.004741603,0.002446139],"domain_scores_gemma":[0.945255,0.01916779,0.008806019,0.002529741,0.01907204,0.00516936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000153461,0.00006372261,0.1005239,0.0003850271,0.00003742649,0.0006937521,0.8353231,0.0001645717,0.0003362415,0.03577163,0.005113434,0.02143364],"study_design_scores_gemma":[0.0000271815,0.00004321849,0.1579344,0.0004945734,0.00004738531,0.00006822528,0.7780064,0.0002035893,0.0002235051,0.002741288,0.0601611,0.00004900034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8487517,0.002768275,0.000867784,0.02675959,0.0002081619,0.0002764528,0.0004222239,0.00001899555,0.1199268],"genre_scores_gemma":[0.9889038,0.001552643,0.0004665772,0.0009910647,0.0000240582,0.00007489265,0.00008766692,0.00001744079,0.007881735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2336045,"threshold_uncertainty_score":0.8889102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103651511597894,"score_gpt":0.3796145037105939,"score_spread":0.2692493525508044,"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."}}