{"id":"W4246558970","doi":"10.36227/techrxiv.12100692","title":"Deep Learning for text in limted data settings","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Artificial intelligence; Sequence (biology); Deep learning; Transfer of learning; Sequence learning; Natural language processing; Recurrent neural network; Machine learning; Sentiment analysis; Artificial neural network","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":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.000532505,0.000265936,0.0004632298,0.0002408517,0.00006213163,0.0002499164,0.005099578,0.0002055324,0.00001484468],"category_scores_gemma":[0.0006872494,0.0002661959,0.0001061888,0.0004800831,0.00002538651,0.0004853482,0.01140638,0.0008704424,0.0000234876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007906302,"about_ca_system_score_gemma":0.00008520015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005831129,"about_ca_topic_score_gemma":0.00009985841,"domain_scores_codex":[0.9974372,0.00007581031,0.0004524715,0.001472041,0.0002438519,0.0003186433],"domain_scores_gemma":[0.9971873,0.000257117,0.0002829281,0.002098339,0.00009452134,0.00007975684],"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":[0.00002320082,0.000150344,0.001487898,0.0005500279,0.0002095416,0.00006375046,0.00203895,0.01973318,0.001540986,0.04618736,0.01375475,0.91426],"study_design_scores_gemma":[0.0001093435,0.00002588166,0.0001238508,0.00006260812,0.00001433676,0.000001087551,0.00002574836,0.9429271,0.000695507,0.03728816,0.01841177,0.000314631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007525236,0.0001608662,0.9929267,0.003759817,0.00006956836,0.000472229,0.000003443766,0.001151553,0.001380563],"genre_scores_gemma":[0.09836517,0.00006554658,0.9000415,0.0007087291,0.00007954457,0.00009647819,0.0002917484,0.0000275151,0.000323775],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9231939,"threshold_uncertainty_score":0.999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05509319530841789,"score_gpt":0.3401015580858983,"score_spread":0.2850083627774804,"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."}}