{"id":"W4232810774","doi":"10.36227/techrxiv.12116565","title":"ChatApp with Encryption using Firebase","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Encryption; Conversation; Computer science; Computer security; Linguistics; Philosophy","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":[0.002240838,0.00137183,0.001328158,0.001591752,0.00140036,0.003188758,0.002378829,0.002241508,0.0362467],"category_scores_gemma":[0.009328388,0.001439765,0.0009434201,0.0007987657,0.0007337169,0.004918128,0.004231951,0.00326493,0.02741768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008005979,"about_ca_system_score_gemma":0.001458277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002174116,"about_ca_topic_score_gemma":0.00137968,"domain_scores_codex":[0.9974617,0.0002384046,0.000232927,0.0004575197,0.001248775,0.0003606406],"domain_scores_gemma":[0.9927189,0.001307601,0.0003118723,0.003818604,0.001341702,0.000501229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005668344,0.001343531,0.01009817,0.001241104,0.0004457916,0.002380308,0.001663074,0.002845566,0.06073678,0.03260421,0.5049145,0.3760587],"study_design_scores_gemma":[0.0006063153,0.0006389502,0.008362832,0.0004107401,0.0002730138,0.003700057,0.0003450032,0.06889524,0.2919529,0.0263271,0.5980576,0.0004302785],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.03546967,0.00141323,0.284761,0.001031143,0.001428919,0.001121035,0.006488916,0.6197528,0.04853331],"genre_scores_gemma":[0.5142962,0.001628714,0.1711772,0.003465403,0.001095057,0.001482731,0.02094767,0.08500661,0.2009004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0362467,"threshold_uncertainty_score":0.1212572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05810169670068578,"score_gpt":0.2551314956081486,"score_spread":0.1970297989074629,"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."}}