{"id":"W4293248177","doi":"10.1145/3539813.3545150","title":"WooIR","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canadian Institute of Steel Construction","keywords":"Computer science; Task (project management); Benchmark (surveying); Metric (unit); Baseline (sea); Field (mathematics); Segmentation; Information retrieval; Data mining; Quality (philosophy); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008173154,0.00002973086,0.00003303157,0.00003252704,0.0001273108,0.00002050947,0.0004872656,0.000003909408,0.0002389811],"category_scores_gemma":[0.000007579333,0.0000270718,0.00001945705,0.0002543087,0.000005922903,0.0002265749,0.000531988,0.00006774721,0.00002040141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001964113,"about_ca_system_score_gemma":0.00001227782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002881964,"about_ca_topic_score_gemma":9.451002e-8,"domain_scores_codex":[0.9996091,0.0000167105,0.00004806575,0.000117151,0.0001224068,0.0000865929],"domain_scores_gemma":[0.9997072,0.00001558569,0.00001310383,0.000233539,0.00001033174,0.00002020971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002296485,0.00004651263,0.0001250225,0.000001304501,0.000002845713,0.00003316615,0.0001264627,0.00001929747,0.002368661,0.4775581,0.05291352,0.4668028],"study_design_scores_gemma":[0.00006314162,0.0001089816,0.0001224908,2.743589e-7,3.57273e-7,0.00002625547,0.00002035504,0.002224367,0.04278865,0.05473363,0.8998181,0.00009338466],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001700416,0.00007863515,0.968832,0.0006029272,0.00006798682,0.00003826976,2.917897e-7,0.0004861008,0.02972375],"genre_scores_gemma":[0.5022399,0.0000126071,0.4741206,0.005188657,0.00002386607,0.00004961031,8.782978e-7,0.000005924406,0.01835801],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8469046,"threshold_uncertainty_score":0.2616675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016426538243726,"score_gpt":0.2483751055498988,"score_spread":0.2382108401674615,"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."}}