{"id":"W4390908536","doi":"10.1021/acssusresmgt.4c00007","title":"Fireside Chat with Madhavi Srinivasan","year":2024,"lang":"en","type":"article","venue":"ACS Sustainable Resource Management","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Citation; Altmetrics; Library science; Social media; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000130647,0.0001644154,0.0001072563,0.0002279677,0.0001080813,0.0002992059,0.0001390393,0.00004111312,0.000237375],"category_scores_gemma":[0.000003870696,0.0001448429,0.00003059891,0.0004841816,0.00002273193,0.0002590363,0.00005516231,0.0001366557,0.0001726323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000144586,"about_ca_system_score_gemma":0.00001395549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001186085,"about_ca_topic_score_gemma":0.000004242799,"domain_scores_codex":[0.9990102,0.00001170426,0.0001494067,0.0002304502,0.000222038,0.0003762023],"domain_scores_gemma":[0.999614,0.00002820887,0.00001192056,0.000241032,0.00003264656,0.0000721842],"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":[0.00007036711,0.00008747691,0.0001747077,0.0103013,0.0007111559,0.004781016,0.002224944,0.2013593,0.0001313111,0.3243932,0.391158,0.0646072],"study_design_scores_gemma":[0.000143064,0.00003055062,0.0001562591,0.00006909883,0.00003894819,0.00001636918,0.005729672,0.003008399,0.0006609825,0.0007775912,0.9891689,0.0002001131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01536308,0.003501337,0.01016315,0.001026611,0.000103518,0.0005041011,0.000001438866,0.00192501,0.9674118],"genre_scores_gemma":[0.7504344,0.0002645195,0.0002838259,0.0001435003,0.00007191207,0.0001018852,0.00001275033,0.00005449558,0.2486327],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7350713,"threshold_uncertainty_score":0.5906523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003878835835829414,"score_gpt":0.2003692085944252,"score_spread":0.1964903727585958,"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."}}