{"id":"W4310086891","doi":"10.31046/proceedings.2022.3138","title":"Measure TWYCE, Cut Once","year":2022,"lang":"en","type":"article","venue":"ATLA Summary of Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Vocational education; Service (business); Service delivery framework; Public relations; Sociology; Measure (data warehouse); Medical education; Business; Computer science; Psychology; Political science; Pedagogy; Marketing; Medicine","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":[0.0009216736,0.00006832729,0.0001090237,0.0001058878,0.0008533502,0.00007972404,0.0005597524,0.00002790338,0.001042567],"category_scores_gemma":[0.000108735,0.0000687767,0.00006019392,0.0008025161,0.0001887069,0.007040775,0.0001469973,0.0001448905,0.00002547354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005296041,"about_ca_system_score_gemma":0.0002117772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002346507,"about_ca_topic_score_gemma":0.000002739271,"domain_scores_codex":[0.9985386,0.00002157225,0.000238128,0.0001418044,0.0008099472,0.0002499746],"domain_scores_gemma":[0.9995159,0.0000356484,0.0001639924,0.00006013242,0.0001298565,0.0000944687],"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":[0.00004995465,0.00008839813,0.04704025,0.00004951596,0.00001576794,0.000001822003,0.1003991,0.00001317157,0.0008895077,0.4967165,0.3418092,0.01292683],"study_design_scores_gemma":[0.0001196156,0.00006185415,0.001560296,0.00001379814,0.00000347727,0.000001576392,0.02067804,0.00006610036,0.0003651806,0.002021201,0.9749991,0.0001097709],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3355519,0.0001520349,0.000007092309,0.006882154,0.0003782361,0.0002362332,0.0000108504,0.0001118015,0.6566697],"genre_scores_gemma":[0.9829417,0.0000402978,0.0003601827,0.002586111,0.0001550188,0.0000245407,0.000007225164,0.000005557947,0.01387935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6473898,"threshold_uncertainty_score":0.9998706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708932553884282,"score_gpt":0.2626341310520711,"score_spread":0.2455448055132283,"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."}}