{"id":"W7010342391","doi":"","title":"The influence of electronic mail on communication patterns among educators /","year":2003,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronic mail; The Internet; Government (linguistics); Anonymity; Postal service","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":[0.001603421,0.0001266571,0.0001557144,0.001224306,0.0006167282,0.002204319,0.0002395286,0.0004549378,0.01881791],"category_scores_gemma":[0.02153021,0.0001219658,0.0001509043,0.001029534,0.0002912809,0.0007956317,0.0006599432,0.0004452656,0.00333471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005418638,"about_ca_system_score_gemma":0.0005366538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004327185,"about_ca_topic_score_gemma":0.005684751,"domain_scores_codex":[0.9976914,0.001386377,0.0001628423,0.0001732568,0.0003323418,0.0002538264],"domain_scores_gemma":[0.9690745,0.02103326,0.004492323,0.0007686496,0.002018922,0.002612429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007802797,0.0007612911,0.9033835,0.00005554225,0.00005051415,0.0001817073,0.005429553,0.00009535261,0.001105006,0.0002944752,0.001955291,0.08590744],"study_design_scores_gemma":[0.00001853947,0.0001933905,0.9923981,0.0000457933,0.00002393034,0.00008934098,0.004771084,0.0002723093,0.0003527138,0.0001157839,0.001711126,0.000007980314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916877,0.00007197609,0.00006831171,0.0003289458,0.00001356851,0.000007409536,0.0001138512,0.00001236022,0.007695736],"genre_scores_gemma":[0.9949986,0.00008382274,0.0001358651,0.00008496974,0.00002723736,0.00001427814,0.00009298617,0.00001624118,0.004546057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01881791,"threshold_uncertainty_score":0.06295216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009492938297821505,"score_gpt":0.2811655538569807,"score_spread":0.2716726155591592,"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."}}