{"id":"W4404180500","doi":"10.1109/ficloud62933.2024.00060","title":"Time Dynamic \"Allow Listing\" For Dropbox","year":2024,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Listing (finance); Computer science; 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":[0.0008642017,0.0006456809,0.0003072632,0.0006148058,0.0004399004,0.001084497,0.000987227,0.0006077538,0.004977733],"category_scores_gemma":[0.00434247,0.0001703597,0.0004270815,0.0004063367,0.0002938019,0.001719259,0.0004882033,0.0009139411,0.001269606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000491727,"about_ca_system_score_gemma":0.0006390309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005601512,"about_ca_topic_score_gemma":0.009983175,"domain_scores_codex":[0.9996015,0.00008796668,0.00002274394,0.0001031918,0.00009407694,0.00009056053],"domain_scores_gemma":[0.9984149,0.0007030398,0.0002884865,0.0002845695,0.0001933822,0.0001155708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002511319,0.001284607,0.2123763,0.0004507607,0.0002351951,0.001462681,0.0006317925,0.3543387,0.01913172,0.02090846,0.0545077,0.3321608],"study_design_scores_gemma":[0.00004156172,0.0003037571,0.01832735,0.00003430096,0.00005495437,0.0003845923,0.0002177656,0.9547213,0.007576608,0.006255496,0.0120335,0.0000488333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7712717,0.0004406231,0.196021,0.001757111,0.0003012666,0.0003888619,0.00410865,0.01371254,0.01199829],"genre_scores_gemma":[0.9716556,0.00009728311,0.02418135,0.0001266977,0.00004270665,0.00006890969,0.00121259,0.0001384147,0.002476308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005601512,"threshold_uncertainty_score":0.01665217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416227311478507,"score_gpt":0.3815889646229964,"score_spread":0.3574266915082113,"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."}}