{"id":"W4323526483","doi":"10.1145/3545947.3576307","title":"Investigating Subject Lines Length on Students' Email Open Rates","year":2022,"lang":"en","type":"article","venue":"","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Subject (documents); Computer science; Electronic mail; World Wide Web; Key (lock); Multimedia; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.005884033,0.0003099296,0.0003468164,0.001969917,0.0004447181,0.002488321,0.0005041963,0.0007337519,0.008124332],"category_scores_gemma":[0.0645095,0.0002089648,0.0004005538,0.001214526,0.0004892694,0.001751032,0.001523015,0.00108389,0.003275404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004968539,"about_ca_system_score_gemma":0.0004223209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008281029,"about_ca_topic_score_gemma":0.001254689,"domain_scores_codex":[0.9943197,0.001910428,0.0006457946,0.0007610084,0.001852815,0.0005103284],"domain_scores_gemma":[0.8979139,0.06458044,0.01812822,0.003211863,0.01057257,0.005593034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008649589,0.0009472742,0.8896044,0.0002263784,0.00008674961,0.00009502863,0.01685051,0.0003159939,0.003816097,0.0003120877,0.001605694,0.08527494],"study_design_scores_gemma":[0.00001495234,0.0009256265,0.9865347,0.0001060448,0.00003944988,0.0000637527,0.007066054,0.0006936693,0.001656485,0.0002361109,0.00262163,0.00004160591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953858,0.0001032704,0.0007567488,0.0001098772,0.00001705963,0.00005644987,0.0002796133,0.00004720911,0.003243895],"genre_scores_gemma":[0.9960865,0.0000976065,0.0006425236,0.00004831361,0.00002754933,0.0001219742,0.0002999401,0.00002840571,0.002647289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008124332,"threshold_uncertainty_score":0.03111815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05852694559995427,"score_gpt":0.4105397895848462,"score_spread":0.3520128439848919,"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."}}