{"id":"W4377821759","doi":"10.22214/ijraset.2023.52539","title":"Social Sphere: A MERN Stack Social Media App","year":2023,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Énergie et des Ressources Naturelles","keywords":"JavaScript; Computer science; World Wide Web; Perl; Java; Operating system; Stack (abstract data type); Call stack; Web application; Leverage (statistics); The Internet","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002596696,0.0000810295,0.000110256,0.001736571,0.0004786487,0.0003231355,0.002127914,0.00009569922,0.00000342246],"category_scores_gemma":[0.0002718899,0.00007942554,0.00002577125,0.003046986,0.0003754143,0.0002182879,0.0006466409,0.0005082797,0.00003829738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002034462,"about_ca_system_score_gemma":0.0002490853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002890105,"about_ca_topic_score_gemma":0.000004578331,"domain_scores_codex":[0.9979304,0.000007929078,0.0002109674,0.0003149191,0.0009668653,0.0005689224],"domain_scores_gemma":[0.9991623,0.0001894837,0.00003986393,0.0001292674,0.0003984306,0.00008071497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006843163,0.00002322822,0.00003512328,0.000005996853,0.000009688049,0.0000178581,0.000484357,0.0001082106,0.02802548,0.8334051,0.003845513,0.1340326],"study_design_scores_gemma":[0.001593455,0.00008392221,0.002896302,0.00004121686,0.000003000498,0.000168552,0.001316775,0.1879676,0.007572112,0.5961769,0.2017224,0.0004577294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4600611,0.0001879012,0.3974886,0.1301772,0.002909161,0.00160158,0.00003223434,0.001845933,0.005696243],"genre_scores_gemma":[0.9932455,0.00005959604,0.006110655,0.00003161923,0.0002803061,0.0002260875,0.000001711367,0.000008672099,0.00003585556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5331843,"threshold_uncertainty_score":0.3954229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07804332236786589,"score_gpt":0.4019411866975844,"score_spread":0.3238978643297185,"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."}}