{"id":"W7133559681","doi":"10.1145/3799914.3799926","title":"SIGIR 2025 Low Resource Environments Track Report","year":2025,"lang":"en","type":"article","venue":"ACM SIGIR Forum","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Track (disk drive); Resource (disambiguation); Presentation (obstetrics); Context (archaeology); Schedule; Action (physics)","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":[0.0003651848,0.0001541976,0.0001626573,0.0001583779,0.0002332873,0.0001784672,0.001499908,0.000100482,0.00006329622],"category_scores_gemma":[0.000235293,0.0001391288,0.0001070978,0.0004769194,0.00006154012,0.0006609361,0.000869663,0.0002120522,0.0004340346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008419877,"about_ca_system_score_gemma":0.00008469309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001203977,"about_ca_topic_score_gemma":0.00000141248,"domain_scores_codex":[0.9982573,0.00003667588,0.0004210154,0.0003407004,0.0004752209,0.0004690483],"domain_scores_gemma":[0.9982625,0.0001029839,0.0001107713,0.001379699,0.00003257967,0.000111466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007598026,0.0005361575,0.02289827,0.00009810843,0.0001023634,0.0006799088,0.001232666,0.0002455815,0.006767504,0.05156361,0.2750521,0.6407478],"study_design_scores_gemma":[0.0005034929,0.00007733778,0.01084126,0.00003686409,0.000009975966,0.00003786223,0.00009559705,0.002241816,0.02464646,0.002698784,0.9585618,0.0002486896],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2476751,0.000385577,0.5167205,0.03541807,0.002338721,0.001738694,0.00003056712,0.0009447085,0.1947481],"genre_scores_gemma":[0.8271911,0.00003127968,0.01047082,0.006116577,0.00006647087,0.00006802744,0.00005999397,0.00001699304,0.1559787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6835098,"threshold_uncertainty_score":0.5673506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229705593844419,"score_gpt":0.2689785239797574,"score_spread":0.2566814680413132,"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."}}