{"id":"W4416206444","doi":"10.22214/ijraset.2025.75276","title":"A Comprehensive Study on Real-Time Web Ide Collaborative Code Editors","year":2025,"lang":"","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Concurrency; Collaborative editing; Field (mathematics); Code (set theory); Synchronization (alternating current); Source code; Empirical research; Collaborative software","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":[0.008487382,0.000283278,0.0003323764,0.00412438,0.001077507,0.003729712,0.0007244825,0.0006942463,0.002286244],"category_scores_gemma":[0.05083843,0.0002408309,0.0003045886,0.005808141,0.0008089808,0.005157076,0.001077773,0.0008168023,0.0009136521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450379,"about_ca_system_score_gemma":0.004006469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00332191,"about_ca_topic_score_gemma":0.004593185,"domain_scores_codex":[0.9941189,0.002422025,0.0005120878,0.0007477516,0.001887108,0.0003121698],"domain_scores_gemma":[0.9192951,0.05788949,0.005668924,0.003960229,0.01163668,0.001549704],"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":[0.0005023016,0.0007825316,0.1257879,0.007333908,0.0001986589,0.001071913,0.04283395,0.002520977,0.005953894,0.02608751,0.0165242,0.7704023],"study_design_scores_gemma":[0.00009168533,0.001361739,0.2983975,0.006635118,0.0006413987,0.00246949,0.05720157,0.0145314,0.01789865,0.01219413,0.5883502,0.0002272454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8426223,0.04966608,0.03141258,0.002875411,0.0005167567,0.0003706569,0.0009462284,0.0006479479,0.07094209],"genre_scores_gemma":[0.9507101,0.02074283,0.01489781,0.0007246687,0.0002811029,0.0001635216,0.001051627,0.0002730807,0.01115527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008487382,"threshold_uncertainty_score":0.04488611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1131426957653671,"score_gpt":0.4839807953612453,"score_spread":0.3708380995958782,"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."}}