{"id":"W3127374156","doi":"","title":"Principals’ Work in Ontario, Canada: Changing Demographics, Advancements in Information Communication Technology and Health and Wellbeing","year":2016,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Work (physics); Public relations; Information and Communications Technology; Geography; Sociology; Political science; Engineering; Computer science; World Wide Web; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007638718,0.0001009503,0.0001558212,0.001094249,0.0003246414,0.00006072286,0.0002321682,0.000109095,0.000004027104],"category_scores_gemma":[0.00005324248,0.0001049985,0.00001059391,0.0009504788,0.0001186278,0.001793574,0.0002103821,0.0003561043,0.000001434143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008742825,"about_ca_system_score_gemma":0.000819465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06961181,"about_ca_topic_score_gemma":0.9961195,"domain_scores_codex":[0.998885,0.0001969875,0.0001949025,0.0001715789,0.0001782193,0.0003732755],"domain_scores_gemma":[0.9994703,0.00005984153,0.0001553202,0.0001511854,0.00004416972,0.0001191624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001690844,0.000009563179,0.9816048,0.000009781696,0.000004150954,0.000006961166,0.002624179,0.000002496648,0.000002625888,0.0009544819,9.025513e-8,0.01476393],"study_design_scores_gemma":[0.0006340814,0.00002411715,0.9670697,0.0004827852,0.000003050372,0.00000103683,0.006090338,9.88294e-8,0.000005659893,0.0001610462,0.02540222,0.0001258411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956394,0.0001588331,0.00009245131,0.003708232,0.00003974562,0.0002045068,0.000001362875,0.00003146327,0.0001240173],"genre_scores_gemma":[0.9985549,0.0005110716,0.0001705717,0.0001735984,0.000006946955,0.000001077128,0.000005622949,0.00000511491,0.0005711203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9265077,"threshold_uncertainty_score":0.9365837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0549225308537826,"score_gpt":0.3151830389776874,"score_spread":0.2602605081239048,"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."}}