{"id":"W3134942116","doi":"10.1109/icsc50631.2021.00056","title":"Using Conditional Sentence Representation in Pointer Networks for Sentence Ordering","year":2021,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sentence; Computer science; Pointer (user interface); Natural language processing; Artificial intelligence; Representation (politics)","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":[0.0001336884,0.00006657597,0.00008815801,0.00004775194,0.00005353024,0.00009744548,0.0001953606,0.00003056204,0.0000249299],"category_scores_gemma":[0.00006721116,0.0000706571,0.00003953006,0.0002367291,0.00001299361,0.000461617,0.0001639975,0.00006903389,0.000002096622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004504109,"about_ca_system_score_gemma":0.00005567082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007795801,"about_ca_topic_score_gemma":0.00008633533,"domain_scores_codex":[0.9990886,0.00003108769,0.0002045785,0.0003535768,0.0001278313,0.0001943009],"domain_scores_gemma":[0.9994491,0.00009888486,0.00004137033,0.0002522322,0.0001251109,0.00003326936],"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":[0.000009583126,0.0000664964,0.02095864,0.00002761363,0.00001611539,0.00009727156,0.0004720307,0.8448763,0.007123982,0.1174438,0.0002447926,0.008663375],"study_design_scores_gemma":[0.0002938714,0.000004137183,0.001068151,0.00003113777,0.000001244395,0.00005097857,0.0001179287,0.990875,0.001826469,0.005599249,0.00005013612,0.00008172033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0390098,0.00003406146,0.9594681,0.0006983872,0.0002933428,0.00009778161,6.527885e-7,0.00004461364,0.0003532066],"genre_scores_gemma":[0.6860542,0.000003394187,0.3132123,0.0004941087,0.00006157078,0.00000895785,0.000005885001,0.000003625597,0.000155863],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6470444,"threshold_uncertainty_score":0.2881313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07775070764176942,"score_gpt":0.3255678994740757,"score_spread":0.2478171918323062,"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."}}