{"id":"W4214698176","doi":"10.1145/3514207","title":"Elevate","year":2022,"lang":"en","type":"article","venue":"interactions","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006437617,0.00003777412,0.00003528737,0.000103734,0.0003057492,0.00001590991,0.00009629555,0.000002843395,0.02492227],"category_scores_gemma":[0.00002743663,0.00004377741,0.00004061801,0.0002314335,0.000009331691,0.0001172469,0.00009148063,0.0002191623,0.0137872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001907856,"about_ca_system_score_gemma":0.00001735529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005977347,"about_ca_topic_score_gemma":0.00004772028,"domain_scores_codex":[0.9995627,0.00005151103,0.00007708043,0.00009195525,0.0001170158,0.00009971223],"domain_scores_gemma":[0.9997198,0.00004494365,0.00003378943,0.0001545869,0.0000201818,0.0000267157],"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":[0.00005878608,0.0003744339,0.001961689,0.00000128516,0.00007065914,0.00003396549,0.001115727,0.002532451,0.184418,0.008326106,0.7988163,0.002290565],"study_design_scores_gemma":[0.00007955408,0.00001762108,0.001504792,7.464477e-7,0.000006433474,0.0001027262,0.0004410646,0.0005540009,0.001046857,0.0004733086,0.9957201,0.00005273451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7530605,0.00002374123,0.0001926052,0.001763196,0.003112782,0.0001436848,0.0003772776,0.0005842065,0.2407421],"genre_scores_gemma":[0.9799775,1.695458e-7,0.000109165,0.0002017775,0.00005565838,0.0001264691,0.00002919771,0.00002343217,0.01947665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.226917,"threshold_uncertainty_score":0.9869807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02744814347484858,"score_gpt":0.3233721600885762,"score_spread":0.2959240166137276,"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."}}