{"id":"W4385805047","doi":"10.1109/cvprw59228.2023.00271","title":"3DSSR: 3D Subscene Retrieval","year":2023,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Task (project management); Object (grammar); Context (archaeology); Information retrieval; Set (abstract data type); Artificial intelligence; Point (geometry); Image retrieval; Point cloud; Suite; Measure (data warehouse); Encoder; Scheme (mathematics); Data mining; Image (mathematics); 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":[0.0004675626,0.001535395,0.001278194,0.001862031,0.0005672154,0.001369571,0.002106229,0.001522638,0.01709066],"category_scores_gemma":[0.001747394,0.0004708125,0.00114938,0.001517426,0.0004380665,0.002408384,0.002781024,0.0007991643,0.01125414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004769563,"about_ca_system_score_gemma":0.0005878391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005671384,"about_ca_topic_score_gemma":0.01093092,"domain_scores_codex":[0.9991847,0.00005885465,0.00004156355,0.0002367578,0.0003889344,0.00008922087],"domain_scores_gemma":[0.999432,0.00008141029,0.00003234448,0.0003164632,0.0001019946,0.00003581747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007146634,0.000366163,0.002732197,0.0008692005,0.0001795494,0.0008059171,0.0002019802,0.0301783,0.110157,0.004756312,0.09323191,0.7558069],"study_design_scores_gemma":[0.0001199105,0.0006770832,0.007168317,0.0001408087,0.0001031725,0.004036561,0.0003722624,0.6917666,0.1790905,0.01017722,0.1061596,0.0001879923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1010022,0.003884997,0.73919,0.0005138938,0.0004252856,0.0009687651,0.02153643,0.1091799,0.02329841],"genre_scores_gemma":[0.3018031,0.001861289,0.6172529,0.0005365537,0.0001447281,0.0003083598,0.05564451,0.002989605,0.01945891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01709066,"threshold_uncertainty_score":0.05717391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836963637363537,"score_gpt":0.2598387753176619,"score_spread":0.2314691389440265,"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."}}