{"id":"W3213217104","doi":"10.1287/mksc.2021.1305","title":"Pushing Notifications as Dynamic Information Design","year":2021,"lang":"en","type":"article","venue":"Marketing Science","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Marketing; Industrial organization; Business","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":[0.0108377,0.001203319,0.0007461982,0.001385009,0.001149687,0.004125014,0.001949558,0.002006971,0.003244047],"category_scores_gemma":[0.04553027,0.0009223106,0.0007942512,0.001089069,0.001862241,0.00525387,0.001913398,0.00182959,0.0003568885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244756,"about_ca_system_score_gemma":0.001349821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0012568,"about_ca_topic_score_gemma":0.001283924,"domain_scores_codex":[0.9929818,0.004133174,0.0003182144,0.0008258405,0.001366965,0.0003740769],"domain_scores_gemma":[0.9106828,0.07286157,0.006726452,0.005418558,0.002465313,0.00184522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002259841,0.002641798,0.02858002,0.001736497,0.000323701,0.001752493,0.008499318,0.1696864,0.0564329,0.2683654,0.004354085,0.4553674],"study_design_scores_gemma":[0.0004921617,0.002428813,0.006388924,0.0003077711,0.0005539864,0.0006930433,0.001865803,0.7624034,0.03012282,0.1701728,0.02429891,0.0002716446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2414002,0.0005272396,0.7424166,0.001502023,0.0001578165,0.000511516,0.00006898081,0.001771629,0.01164406],"genre_scores_gemma":[0.8383917,0.0002148029,0.1581821,0.000178158,0.00006453742,0.0002783826,0.00004844978,0.0001258536,0.002516132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0108377,"threshold_uncertainty_score":0.05731595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2070111924627812,"score_gpt":0.4398451866615307,"score_spread":0.2328339941987495,"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."}}