{"id":"W6949540511","doi":"10.5281/zenodo.16813633","title":"DECaPS 3D Dust Map and Stellar Inference Software","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Code (set theory); Stars; Software; Scripting language; Extinction (optical mineralogy); Line (geometry); Inference","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":[0.001628739,0.002062667,0.001709743,0.001951305,0.001471965,0.004306187,0.004150211,0.001264142,0.1225217],"category_scores_gemma":[0.007183844,0.002150431,0.002852466,0.001740109,0.0004825199,0.002226334,0.00350227,0.004017076,0.1055032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444118,"about_ca_system_score_gemma":0.002300412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0198587,"about_ca_topic_score_gemma":0.02738162,"domain_scores_codex":[0.9991604,0.00009903244,0.00005858554,0.0003204541,0.0002683975,0.00009321621],"domain_scores_gemma":[0.998611,0.0003711521,0.00008877526,0.0003926133,0.0004192281,0.0001171928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002671439,0.00006857997,0.01080636,0.00110973,0.0006271746,0.0002373291,0.0005694159,0.01586952,0.002236924,0.01093607,0.9071883,0.05008347],"study_design_scores_gemma":[0.0003031675,0.00003598135,0.008078488,0.0003507514,0.0002578201,0.0003982353,0.0003530606,0.06559677,0.009537152,0.03906477,0.8758055,0.0002182062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.008838085,0.0009605361,0.1603875,0.0007616639,0.001069928,0.0003632041,0.4493054,0.3459917,0.03232209],"genre_scores_gemma":[0.04599791,0.0006023013,0.3225248,0.00152169,0.0003149014,0.001599012,0.438846,0.1683291,0.02026426],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1225217,"threshold_uncertainty_score":0.4098758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968692407674837,"score_gpt":0.2389748777413965,"score_spread":0.2192879536646481,"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."}}