{"id":"W2968927130","doi":"10.1007/978-3-030-23876-6_11","title":"Online Variational Learning for Medical Image Data Clustering","year":2019,"lang":"en","type":"book-chapter","venue":"Unsupervised and semi-supervised learning","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cluster analysis; Computer science; Image (mathematics); Artificial intelligence; Computer vision; 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":[0.001611139,0.0007210136,0.001784811,0.0007748773,0.0003666382,0.001163053,0.002779718,0.001525614,0.003529781],"category_scores_gemma":[0.004318701,0.0009967772,0.001144765,0.001330582,0.001333167,0.001463353,0.002422794,0.002109547,0.001047508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563041,"about_ca_system_score_gemma":0.0009814033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006559742,"about_ca_topic_score_gemma":0.007339202,"domain_scores_codex":[0.999366,0.0002444348,0.00003354954,0.0001319652,0.0001785502,0.00004546127],"domain_scores_gemma":[0.9988151,0.0007581182,0.00006820881,0.0001499144,0.0001597617,0.00004887777],"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":[0.0001069233,0.0000686615,0.0003083255,0.000295606,0.0001407846,0.00005543123,0.0001278297,0.6369755,0.005968061,0.08937456,0.01174424,0.254834],"study_design_scores_gemma":[0.000002880017,0.000007538908,0.00005409461,0.000006602163,0.0000041557,0.00001995845,0.000005256104,0.9781148,0.0004864369,0.0200759,0.001216937,0.000005458508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000956624,0.0004582993,0.9976318,0.0001350321,0.00002348621,0.00001387792,0.00005295119,0.000219748,0.0005082397],"genre_scores_gemma":[0.1457496,0.001522637,0.8361885,0.0003357743,0.0002661139,0.0002465142,0.000811125,0.0008617081,0.01401801],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006559742,"threshold_uncertainty_score":0.01304311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03569696022277428,"score_gpt":0.2765823367837115,"score_spread":0.2408853765609373,"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."}}