{"id":"W6929014037","doi":"10.48448/vkct-s744","title":"Text Editing as Imitation Game","year":2022,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Action (physics); Encoding (memory); Imitation; Sequence (biology); Decoding methods; Flexibility (engineering); Frame (networking); Dual (grammatical number); Substitution (logic)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001217569,0.0008942484,0.0007898186,0.0003921046,0.0004299925,0.00112597,0.001791479,0.001442849,0.007647586],"category_scores_gemma":[0.008154359,0.000345443,0.0006526113,0.0003245943,0.001499183,0.001969659,0.001442555,0.001655458,0.001263656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008433122,"about_ca_system_score_gemma":0.001198669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003387667,"about_ca_topic_score_gemma":0.003531913,"domain_scores_codex":[0.9988858,0.0003516748,0.00006115966,0.0003632394,0.0002436603,0.00009450119],"domain_scores_gemma":[0.9965252,0.002470179,0.0002486929,0.0003320043,0.0002567119,0.0001672153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002889399,0.0002584934,0.001719646,0.0002668947,0.0000771132,0.0007764138,0.0005600171,0.6620573,0.01571306,0.143659,0.007230739,0.1673925],"study_design_scores_gemma":[0.00001884993,0.00003805942,0.000108038,0.000009013141,0.000009019323,0.00006520243,0.00001789425,0.9668442,0.001802847,0.02859378,0.002480435,0.00001264726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03723314,0.0002548187,0.9432055,0.001069475,0.0001695089,0.0002198049,0.0002749764,0.00219067,0.01538208],"genre_scores_gemma":[0.7692523,0.0002547439,0.1989567,0.0004805445,0.00008165953,0.0004166779,0.000408635,0.0003615702,0.02978732],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007647586,"threshold_uncertainty_score":0.02558368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789147398243235,"score_gpt":0.32605459023476,"score_spread":0.2981631162523276,"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."}}