{"id":"W4380992126","doi":"10.1109/access.2023.3286853","title":"Learning to Generate Popular Headlines","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Topic Modeling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002207106,0.00007880411,0.00009486155,0.000139156,0.0001197596,0.0003425073,0.001118796,0.00003001705,0.000005481249],"category_scores_gemma":[0.0000430431,0.00007522601,0.00002866173,0.0007240084,0.000004584169,0.000477753,0.0003413641,0.00009689614,0.0003955763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001550809,"about_ca_system_score_gemma":0.00002167147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008666909,"about_ca_topic_score_gemma":0.00001431542,"domain_scores_codex":[0.9990683,0.00003616727,0.0001392483,0.0003119505,0.0001860246,0.0002583398],"domain_scores_gemma":[0.999487,0.00001994869,0.00002867202,0.0003310775,0.00004823357,0.00008510495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003745957,0.0000183538,0.01182938,0.00003079355,0.00001724793,0.0001497759,0.002181364,0.7725122,0.01292484,0.004510538,0.01328736,0.1825344],"study_design_scores_gemma":[0.0001491403,0.00003358868,0.002730449,0.00002144917,0.000002518096,0.000006615422,0.0000227068,0.963614,0.01439835,0.00242675,0.01632541,0.0002689812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5987499,0.00001558963,0.3978956,0.001838515,0.0008669195,0.0000570465,2.130359e-7,0.0004047016,0.0001714822],"genre_scores_gemma":[0.9881175,0.00000910305,0.008785047,0.0009519795,0.0003498945,0.00001745007,0.000001259237,0.00001052408,0.001757218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3893676,"threshold_uncertainty_score":0.5084465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08285575657819608,"score_gpt":0.347523334990131,"score_spread":0.2646675784119349,"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."}}