{"id":"W6976866797","doi":"10.60692/hk0kf-nrc03","title":"InductiveQE Datasets","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Inference; Disjoint sets; Graph; Graph database; Training set; Set (abstract data type)","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":[0.003804593,0.003313322,0.001729264,0.005606167,0.001959099,0.003203457,0.007648389,0.00407273,0.0717843],"category_scores_gemma":[0.01824591,0.001137562,0.00365676,0.007566234,0.0009960529,0.004258332,0.004082963,0.003523171,0.08570302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003207661,"about_ca_system_score_gemma":0.003341219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02029154,"about_ca_topic_score_gemma":0.03619466,"domain_scores_codex":[0.9957761,0.0008031448,0.0004392589,0.001262427,0.001298803,0.0004203944],"domain_scores_gemma":[0.9925519,0.002216438,0.0002923064,0.002235199,0.002417057,0.0002871405],"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":[0.0001137995,0.0000918898,0.0007958644,0.001072826,0.00008298829,0.00006711751,0.00003772754,0.002024305,0.0004267239,0.00193107,0.9852211,0.008134684],"study_design_scores_gemma":[0.0004566464,0.00008275871,0.003047448,0.0003437887,0.00008201433,0.0002259232,0.0001824843,0.005958988,0.00215332,0.008038541,0.9793373,0.00009077528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009912214,0.0003675981,0.002189871,0.0003321621,0.0001320437,0.0001887291,0.9839384,0.007492864,0.004367055],"genre_scores_gemma":[0.001024498,0.00008783615,0.003004235,0.0001853359,0.00001138134,0.0002733953,0.9939378,0.0003982972,0.001077248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0717843,"threshold_uncertainty_score":0.2401423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03093802662762828,"score_gpt":0.2139466647515643,"score_spread":0.183008638123936,"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."}}