{"id":"W1498740961","doi":"10.48550/arxiv.1410.0718","title":"Not All Neural Embeddings are Born Equal","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Topic Modeling","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Natural language processing; Machine translation; Artificial intelligence; Similarity (geometry); Word (group theory); Translation (biology); Artificial neural network; Linguistics; Image (mathematics)","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":[0.001477171,0.0006964132,0.0007627015,0.0007717178,0.0007829212,0.004251136,0.0009764475,0.001820196,0.006850814],"category_scores_gemma":[0.01652152,0.0006176946,0.0004746549,0.001035589,0.002939134,0.01901363,0.002416282,0.003768961,0.003642092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007312734,"about_ca_system_score_gemma":0.0004433116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031255,"about_ca_topic_score_gemma":0.001084648,"domain_scores_codex":[0.998694,0.0004427138,0.00006311599,0.0004714624,0.0002250707,0.0001037575],"domain_scores_gemma":[0.9969132,0.001375167,0.0002022089,0.001003802,0.0003508923,0.0001545717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001637825,0.00004894978,0.00379801,0.0003333582,0.0003671141,0.0001553643,0.0004535983,0.01887238,0.002798026,0.7076966,0.02804999,0.2372629],"study_design_scores_gemma":[0.00001288463,0.0000215571,0.0009049763,0.00006413135,0.00004578892,0.0001502683,0.0001713751,0.02282465,0.001129205,0.9561597,0.01849026,0.00002520811],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1491126,0.01293524,0.6843959,0.05688405,0.003204173,0.00005694206,0.002658164,0.001533936,0.08921894],"genre_scores_gemma":[0.8870658,0.007618094,0.0682437,0.005555,0.0009757438,0.000114749,0.002237683,0.0007715311,0.02741758],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006850814,"threshold_uncertainty_score":0.02291822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088451648462849,"score_gpt":0.2061142268516836,"score_spread":0.0972690620053987,"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."}}