{"id":"W4378977166","doi":"10.1109/satml54575.2023.00006","title":"Organizing Committee: SaTML 2023","year":2023,"lang":"en","type":"article","venue":"","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Vector Institute; Google (Canada)","funders":"","keywords":"Computer science; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003419091,0.0000333597,0.00004424975,0.00005856867,0.0004404163,0.00009249861,0.000126415,0.00002128153,0.005349195],"category_scores_gemma":[0.00004973805,0.00003111175,0.00002237165,0.0007058754,0.00005043513,0.00007263942,0.00007112183,0.00003332106,0.004404029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002508066,"about_ca_system_score_gemma":0.00003609897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004749558,"about_ca_topic_score_gemma":0.01174069,"domain_scores_codex":[0.9994597,0.00003307789,0.00006340296,0.0000904159,0.0001658805,0.0001874662],"domain_scores_gemma":[0.9997766,0.00004605683,0.00001233198,0.00008786676,0.00003021168,0.00004692618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[4.818664e-7,0.00001042959,0.002363984,0.000003195458,0.00000803054,0.000005753498,0.003362813,0.000004136217,0.00002776686,0.5553368,0.4130752,0.02580144],"study_design_scores_gemma":[0.00005208734,0.000006239885,0.005698394,0.0000048056,0.000003789811,4.346549e-8,0.02631357,0.00008340419,0.00001100285,0.007418175,0.9603393,0.00006916345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03152986,0.00001018605,0.0002116794,0.02160277,0.0003208296,0.00009906792,0.000001336977,0.0004040279,0.9458202],"genre_scores_gemma":[0.8763514,0.0001301184,0.0001124733,0.0003095456,0.0001406275,0.000005958025,0.000005166015,0.000003486743,0.1229412],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8448216,"threshold_uncertainty_score":0.9963712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0573422266300655,"score_gpt":0.329101209798179,"score_spread":0.2717589831681135,"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."}}