{"id":"W4407297980","doi":"10.1017/pasa.2025.14","title":"WALLABY Pilot Survey: HI source-finding with a machine learning framework","year":2025,"lang":"en","type":"article","venue":"Publications of the Astronomical Society of Australia","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Government of Western Australia; Australian Government; Commonwealth Scientific and Industrial Research Organisation; Science and Industry Endowment Fund","keywords":"Physics; Astronomy; Data science; Astrophysics; Computer science","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":[0.001025404,0.0005931655,0.0004304805,0.001070412,0.0004026372,0.001019139,0.00136688,0.000721971,0.002482392],"category_scores_gemma":[0.002006631,0.0002901799,0.0004139433,0.0005647525,0.0004813124,0.000650116,0.001195558,0.0009217032,0.001033879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009265976,"about_ca_system_score_gemma":0.001347215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04518329,"about_ca_topic_score_gemma":0.04007605,"domain_scores_codex":[0.9996883,0.00008501818,0.00001111959,0.00009059068,0.00007841877,0.00004666398],"domain_scores_gemma":[0.9995205,0.0001275252,0.00004461779,0.00008367456,0.0001652587,0.00005842195],"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":[0.0004282854,0.000294201,0.03108518,0.0001119977,0.0002047803,0.0004261598,0.0001378303,0.5156144,0.01255602,0.01221209,0.01830655,0.4086225],"study_design_scores_gemma":[0.000009266313,0.00001651587,0.001482071,0.00000548294,0.000003846313,0.00001703439,0.0000108523,0.9947246,0.001127891,0.001506379,0.001090594,0.00000558213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.165003,0.0006537771,0.8129281,0.001328735,0.0001110689,0.0002871796,0.001411076,0.01020706,0.008069991],"genre_scores_gemma":[0.6120154,0.0001681788,0.3774514,0.0002923872,0.0001184005,0.0001291822,0.002511513,0.0002796896,0.007033697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04518329,"threshold_uncertainty_score":0.08984059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06061396050558424,"score_gpt":0.3405922867699324,"score_spread":0.2799783262643482,"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."}}