{"id":"W4250855575","doi":"10.1007/978-1-4939-7131-2_101110","title":"Social Graph Dataset","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Graph; Theoretical computer science","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":[0.0005139332,0.002087208,0.0007015527,0.004474923,0.001039137,0.001230095,0.00119686,0.001593911,0.04163941],"category_scores_gemma":[0.00364492,0.000323422,0.0009966025,0.003647576,0.0002735356,0.001275331,0.001273456,0.001232193,0.03758423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008746385,"about_ca_system_score_gemma":0.001277073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206261,"about_ca_topic_score_gemma":0.04180175,"domain_scores_codex":[0.9993448,0.0001350451,0.00004768886,0.0001792448,0.0002096916,0.00008364119],"domain_scores_gemma":[0.9989216,0.0003072139,0.00007855233,0.0003257926,0.0002125248,0.0001542463],"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":[0.00004972708,0.00008454386,0.0008579689,0.000385324,0.00003956883,0.00004591247,0.00002966478,0.0007456329,0.0005330698,0.001650487,0.9804802,0.01509789],"study_design_scores_gemma":[0.0001437747,0.00007873057,0.004888094,0.0001947759,0.00005955411,0.0002635782,0.0001739845,0.00632974,0.001653803,0.006692414,0.9794816,0.0000399155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004117967,0.000645099,0.001273069,0.0005262087,0.0002491026,0.0001481376,0.9777679,0.003071049,0.0122015],"genre_scores_gemma":[0.003834353,0.0002626838,0.002251312,0.0001333157,0.00003281684,0.0001334424,0.9894295,0.000129065,0.00379353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04163941,"threshold_uncertainty_score":0.1392977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03392649535992964,"score_gpt":0.276518443377842,"score_spread":0.2425919480179124,"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."}}