{"id":"W2292736936","doi":"10.1109/glocom.2015.7417042","title":"Crawling ResearchGate.net to Measure Student/Supervisor Collaboration","year":2015,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Upload; Crawling; Supervisor; Download; Computer science; Social network analysis; Social network (sociolinguistics); World Wide Web; Measure (data warehouse); Knowledge management; Data science; Social media; Database; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02548872,0.0003280505,0.0005565184,0.009205179,0.0008111162,0.006475484,0.01380752,0.0002395119,0.0003373158],"category_scores_gemma":[0.03155397,0.0002755097,0.000138243,0.110299,0.0004285524,0.001417807,0.003736815,0.0005834753,0.005149337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009595435,"about_ca_system_score_gemma":0.002515993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053694,"about_ca_topic_score_gemma":0.003553892,"domain_scores_codex":[0.9837805,0.001808443,0.001248242,0.001012824,0.01112211,0.001027857],"domain_scores_gemma":[0.9669909,0.0017275,0.0003261551,0.005637336,0.02341592,0.001902166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001880906,0.001253903,0.1334078,0.000009092262,0.0001018632,0.00001425652,0.002432873,0.0006266338,0.001552082,0.02522091,0.707171,0.1280215],"study_design_scores_gemma":[0.004182135,0.001381722,0.09573445,0.0001452556,0.00006332123,0.00004110996,0.03571169,0.05247083,0.001044484,0.06327222,0.7440118,0.001941013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5614361,0.007183191,0.06431351,0.1103959,0.003747756,0.004322995,0.001492005,0.0004904867,0.2466181],"genre_scores_gemma":[0.9895717,0.0003866835,0.00765368,0.0005116736,0.00009804392,0.0001186152,0.00004821698,0.00001724749,0.00159416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4281356,"threshold_uncertainty_score":0.9999697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8281249177914913,"score_gpt":0.646497618326707,"score_spread":0.1816272994647843,"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."}}