{"id":"W3206085185","doi":"10.1002/elan.202100538","title":"Ted Kuwana as a Senior Colleague, Mentor and Scientific Leader","year":2021,"lang":"en","type":"article","venue":"Electroanalysis","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Engineering ethics; Engineering","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":[],"category_scores_codex":[0.00014059,0.0001875434,0.0003522898,0.000116873,0.000399572,0.0002751012,0.0001972168,0.00009728155,0.002963612],"category_scores_gemma":[0.00007911838,0.0001745698,0.0002579357,0.001850741,0.0001153294,0.00006284948,0.0000720673,0.0002190018,0.0001294312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009028764,"about_ca_system_score_gemma":0.0001489287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005320653,"about_ca_topic_score_gemma":0.0002116803,"domain_scores_codex":[0.9981369,0.0000250104,0.000310798,0.0006962979,0.0004014708,0.0004295449],"domain_scores_gemma":[0.9989201,0.00007104284,0.0001039044,0.0005355486,0.0001863563,0.0001829913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007137395,0.0001204566,0.0008237044,0.00001686833,0.000600372,0.000006955661,0.00006443613,0.000003356632,0.9930521,0.0006765553,0.002512564,0.002115491],"study_design_scores_gemma":[0.0002750479,0.000009013438,0.0000523427,0.000009389101,0.0009037596,0.00002421632,0.0002271087,0.002924002,0.9297497,0.001178527,0.06438356,0.0002633643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800914,0.004333928,0.0003532923,0.00276251,0.000009043062,0.00004247462,0.00001448084,0.00009946585,0.01229339],"genre_scores_gemma":[0.8893396,0.0001190029,0.000371445,0.0001399243,0.00008323728,0.00004676341,0.0002175467,0.00001882108,0.1096637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09737031,"threshold_uncertainty_score":0.9979478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005559265323048389,"score_gpt":0.2327595097534784,"score_spread":0.22720024443043,"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."}}