{"id":"W6906380410","doi":"10.17605/osf.io/xney5","title":"Graph EquiJoin Dataset","year":2020,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graph; Identification (biology); Graph theory; Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007909852,0.003466326,0.001526057,0.003987405,0.001305664,0.00165633,0.003615888,0.003575267,0.03655383],"category_scores_gemma":[0.005348073,0.0006116553,0.001880529,0.005779096,0.0006132483,0.001529335,0.002236842,0.00283992,0.03463822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490173,"about_ca_system_score_gemma":0.001515736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01860063,"about_ca_topic_score_gemma":0.04519536,"domain_scores_codex":[0.9990222,0.0001643763,0.00008012354,0.0003586623,0.0002454405,0.0001291135],"domain_scores_gemma":[0.9982488,0.0004764483,0.0001399815,0.0005571481,0.0003814756,0.0001961678],"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":[0.00009713969,0.0001055805,0.000884804,0.001108866,0.00007742782,0.00009277783,0.00003250423,0.001199207,0.0004532335,0.00102287,0.9889818,0.00594379],"study_design_scores_gemma":[0.0006251784,0.0001286713,0.007512429,0.0004520792,0.0001284551,0.0004797667,0.000236195,0.00578711,0.001686022,0.007088271,0.9758075,0.00006838158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001855611,0.00047388,0.000565362,0.0003256639,0.0001137137,0.00007462797,0.9926963,0.00227559,0.00161934],"genre_scores_gemma":[0.002074819,0.0001226808,0.001283131,0.0001293902,0.00001208682,0.0001179728,0.9955726,0.0001412172,0.000546052],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03655383,"threshold_uncertainty_score":0.1222848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543908197053936,"score_gpt":0.2649035579312501,"score_spread":0.2394644759607107,"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."}}