{"id":"W4231552299","doi":"10.1109/glocom.2014.7417042","title":"Crawling ResearchGate.net to Measure Student/Supervisor Collaboration","year":2014,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Upload; Crawling; Supervisor; Download; Computer science; Social network analysis; World Wide Web; Social network (sociolinguistics); Measure (data warehouse); Knowledge management; Data science; Social media; Management; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004388424,0.0006109923,0.0006146468,0.02521251,0.001350989,0.002526556,0.0009409824,0.000954357,0.002037034],"category_scores_gemma":[0.03433768,0.0003376216,0.0003779374,0.02952383,0.000512327,0.002651039,0.001733902,0.0007287536,0.001353618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595181,"about_ca_system_score_gemma":0.003598874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02105369,"about_ca_topic_score_gemma":0.03414108,"domain_scores_codex":[0.9947813,0.001082568,0.0005338512,0.0007889934,0.002560394,0.000252821],"domain_scores_gemma":[0.9636905,0.0183107,0.005709159,0.003517193,0.006417628,0.002354855],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006348285,0.0009070852,0.3782223,0.005978211,0.000749213,0.0009007372,0.01052704,0.01231346,0.01515682,0.03110153,0.2138754,0.3296334],"study_design_scores_gemma":[0.0002252632,0.0004027645,0.4595627,0.000568926,0.0003673255,0.001398451,0.006085325,0.05059166,0.01755025,0.0162641,0.4466956,0.0002877082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7043402,0.005104682,0.02370864,0.002288993,0.0003835569,0.001111249,0.1918461,0.006004164,0.06521252],"genre_scores_gemma":[0.7048439,0.002639517,0.07136009,0.000232156,0.0002340634,0.002055544,0.204722,0.0006785075,0.01323411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9956115,"threshold_uncertainty_score":0.04186231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6862926154229483,"score_gpt":0.6197131306743925,"score_spread":0.0665794847485558,"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."}}