{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003093159,0.0003870309,0.0004245045,0.0002356609,0.0001285777,0.0002155853,0.003091462,0.0003539469,0.00002489666],"category_scores_gemma":[0.00005175287,0.0004591688,0.0002649527,0.0002463946,0.00007299289,0.0003967821,0.003766682,0.0008252706,0.0001627149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868977,"about_ca_system_score_gemma":0.0001008842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001789066,"about_ca_topic_score_gemma":0.0000335492,"domain_scores_codex":[0.9973577,0.000149549,0.0002537379,0.001546116,0.0001585606,0.0005343704],"domain_scores_gemma":[0.9972686,0.0001116686,0.0003700398,0.001858233,0.0001473534,0.0002441096],"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":[0.00002028629,0.00006281982,0.002238929,0.000119921,0.00009417279,0.0005201479,0.000470944,0.736361,0.00006997433,0.2572803,0.000801945,0.00195956],"study_design_scores_gemma":[0.0003161445,0.00003184346,0.0006987562,0.00006413715,0.00004044176,0.000006407036,0.0000266939,0.9772761,0.00008054142,0.01967921,0.001272846,0.0005068586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2736267,0.00002131731,0.7228208,0.0003363388,0.0009608956,0.0001558899,0.000006754601,0.0003715748,0.001699764],"genre_scores_gemma":[0.9935403,0.00001585572,0.003989371,0.0008560514,0.0002200349,7.266468e-7,0.00000799034,0.00002339925,0.001346241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7199137,"threshold_uncertainty_score":0.999786,"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."}}