{"id":"W4247455945","doi":"10.32920/ryerson.14657298.v1","title":"Peer-To-Peer Multimedia And Information Sharing In Social Networking Web Sites","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Network topology; Overlay network; Peer-to-peer; World Wide Web; Multimedia; Social network (sociolinguistics); Information sharing; Overlay; Computer network; Social media; The Internet","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":[0.002594157,0.000548116,0.0006734238,0.001241963,0.001359046,0.001762035,0.001078651,0.0008909625,0.001213549],"category_scores_gemma":[0.01264511,0.0002911463,0.0003000723,0.001160917,0.000834157,0.003637849,0.00139129,0.0004303723,0.0003724097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100006,"about_ca_system_score_gemma":0.0007278683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003800639,"about_ca_topic_score_gemma":0.00227869,"domain_scores_codex":[0.997361,0.0009746934,0.0001171765,0.0003025178,0.0009391421,0.000305345],"domain_scores_gemma":[0.9915863,0.005147871,0.0006018162,0.0009606984,0.001293704,0.0004096807],"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":[0.00200292,0.002222997,0.05160391,0.0008611821,0.000404885,0.001495314,0.002849214,0.4759968,0.09171282,0.02565514,0.004716275,0.3404786],"study_design_scores_gemma":[0.00007746195,0.001294777,0.01636744,0.000037686,0.000117554,0.0007598244,0.001643474,0.9041655,0.05818439,0.01266168,0.004598166,0.00009200396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685787,0.0006603333,0.02151191,0.000193872,0.0000339585,0.0001682643,0.00007739729,0.000609707,0.008165889],"genre_scores_gemma":[0.9935569,0.000129636,0.005517365,0.00001530567,0.00001382916,0.00002933922,0.00004739648,0.00002224307,0.0006679524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003800639,"threshold_uncertainty_score":0.01371938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833915121688037,"score_gpt":0.2732190970398182,"score_spread":0.2448799458229378,"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."}}