{"id":"W6939194279","doi":"10.60692/c9eaj-3xs44","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; Missing data; Statistical inference","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":[0.002794322,0.003373958,0.001452526,0.005749966,0.001677728,0.003067116,0.00655717,0.00354364,0.05793969],"category_scores_gemma":[0.01574409,0.0009372249,0.003065233,0.007851234,0.0008958132,0.004464852,0.003994844,0.003530036,0.05582251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003807003,"about_ca_system_score_gemma":0.003482107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03158073,"about_ca_topic_score_gemma":0.05103739,"domain_scores_codex":[0.9960738,0.0007960587,0.0004112115,0.001141155,0.001179368,0.0003984319],"domain_scores_gemma":[0.9944372,0.002087512,0.0002246307,0.001397622,0.001558662,0.0002943265],"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":[0.0001257872,0.0001179611,0.000927749,0.001458742,0.00007614031,0.0000884154,0.00006556703,0.002431562,0.0004775249,0.003305116,0.9798284,0.01109703],"study_design_scores_gemma":[0.0003951711,0.00008207018,0.002980294,0.0003831117,0.00007181284,0.0002468257,0.0002611892,0.009019077,0.002051029,0.009877769,0.9745455,0.00008611444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001358798,0.0005859606,0.002785307,0.0005012116,0.0001153091,0.0002319949,0.9796613,0.008812021,0.005947981],"genre_scores_gemma":[0.001439255,0.0001490979,0.003525585,0.0002158155,0.00001063995,0.0002534584,0.9930179,0.0003483206,0.001039957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05793969,"threshold_uncertainty_score":0.1938275,"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."}}