{"id":"W2575068822","doi":"","title":"A Scalable Unsupervised Deep Multimodal Learning System.","year":2016,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Acadia University","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Scalability; Unsupervised learning; Machine learning; Database","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":[0.0005144184,0.0009046471,0.0006876847,0.0005354446,0.0004331869,0.0006165102,0.001669322,0.0009413885,0.01017641],"category_scores_gemma":[0.001536673,0.0004122466,0.0005655182,0.0005036355,0.0002638157,0.001388422,0.00226661,0.001551303,0.004417724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006159833,"about_ca_system_score_gemma":0.0009205802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00650803,"about_ca_topic_score_gemma":0.01512668,"domain_scores_codex":[0.9997395,0.00005348005,0.00001064497,0.00008632142,0.00006035202,0.0000497603],"domain_scores_gemma":[0.9997635,0.00005481517,0.0000128536,0.00005018834,0.00008965232,0.00002896672],"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":[0.0006424661,0.0004574355,0.001906202,0.0002036979,0.0002578876,0.0002015257,0.00007588247,0.04017216,0.03226695,0.005017789,0.07975613,0.8390419],"study_design_scores_gemma":[0.00006578727,0.0001224738,0.0008103168,0.000034683,0.00005170281,0.0001287212,0.00003470633,0.9681576,0.0127818,0.00874926,0.009033872,0.00002909204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04936288,0.002326982,0.8836461,0.0009887059,0.0006305297,0.0003621501,0.004770963,0.0433739,0.01453775],"genre_scores_gemma":[0.476067,0.0007815103,0.4796092,0.001116374,0.0002185324,0.0007521361,0.009948391,0.001108631,0.03039834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01017641,"threshold_uncertainty_score":0.03404349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201505997780801,"score_gpt":0.336723087787667,"score_spread":0.304708027809859,"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."}}