{"id":"W3217551671","doi":"10.14288/1.0401833","title":"3D computer vision with deep Hierarchical Gaussian Mixture Models","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; Pattern recognition (psychology)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001009972,0.00004575723,0.0001932017,0.00003504076,0.0002084806,0.0002509517,0.0005909567,0.0001012187,0.00003759607],"category_scores_gemma":[0.00000422269,0.0001276618,0.00007991694,0.000505579,0.0001822509,0.0007386958,0.0002952536,0.0001749598,0.000009792276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004002471,"about_ca_system_score_gemma":0.0001198071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001831003,"about_ca_topic_score_gemma":0.00971044,"domain_scores_codex":[0.9988268,0.00007663935,0.00009699824,0.0004764097,0.0003230149,0.0002001608],"domain_scores_gemma":[0.9990174,0.00002961676,0.00007989401,0.0004556251,0.0002933067,0.0001242029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000060266,0.0001459684,0.0001779329,0.00003323521,0.00001924666,0.0005529221,0.000165701,0.00001767637,0.0003775824,0.0002577239,0.001049672,0.9971963],"study_design_scores_gemma":[0.001258195,0.0004314276,0.720181,0.0003442629,0.00003236887,0.0008646019,0.000201419,0.2666947,0.0001014998,0.00722651,0.00210684,0.0005571282],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04661014,0.0001042246,0.9505045,0.0006281173,0.00005379293,0.0001004699,0.00001262872,0.0001922992,0.001793835],"genre_scores_gemma":[0.8215975,0.00007535929,0.177552,0.0001409586,0.00002188846,2.875013e-7,0.00001214426,0.000007069994,0.0005928263],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9966392,"threshold_uncertainty_score":0.5418653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007181947021073481,"score_gpt":0.1808443006216086,"score_spread":0.1736623536005352,"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."}}