{"id":"W6966906508","doi":"10.48448/qj1x-sh92","title":"Event Transition Planning for Open-ended Text Generation","year":2022,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Text generation; Natural language generation; Transition (genetics); Continuation; Event (particle physics); Generator (circuit theory); Coherence (philosophical gambling strategy); Planner","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":[0.0006646908,0.0008166439,0.000379038,0.0004908059,0.0004088503,0.000692478,0.001155025,0.001071448,0.009385875],"category_scores_gemma":[0.003108354,0.0003056227,0.0005516415,0.0003336164,0.0007241633,0.001052208,0.001371058,0.001223935,0.001663948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004886232,"about_ca_system_score_gemma":0.0006005281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001552662,"about_ca_topic_score_gemma":0.002783046,"domain_scores_codex":[0.9995677,0.0001351871,0.00002998905,0.0001455997,0.00009511879,0.0000264439],"domain_scores_gemma":[0.9988257,0.0007792801,0.00006932062,0.0001558141,0.00009983607,0.00007004866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004245758,0.0001915046,0.0008274774,0.0003598018,0.00004705523,0.0007884987,0.000700467,0.384784,0.03331683,0.03764025,0.008881944,0.5320375],"study_design_scores_gemma":[0.0000449002,0.00004588233,0.0001322613,0.00001900273,0.00001165226,0.00007985425,0.00004546124,0.9641261,0.0105016,0.0201469,0.004833407,0.00001306895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005502949,0.0001065139,0.9896693,0.00008114024,0.00002857105,0.00006230963,0.00007898499,0.002785091,0.001685221],"genre_scores_gemma":[0.3282586,0.0001514129,0.6651946,0.00009177835,0.00003515288,0.0002072232,0.0006491773,0.000523838,0.004888177],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009385875,"threshold_uncertainty_score":0.03139889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07716378672298892,"score_gpt":0.3637185555266449,"score_spread":0.286554768803656,"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."}}