{"id":"W7076241444","doi":"10.5281/zenodo.16895752","title":"Canada Housing Trust Swap Analytics","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swap (finance); Payment; Cash; Coupon; Bond","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001389721,0.001708491,0.0007316627,0.003417344,0.001915512,0.004299872,0.002168347,0.0006744353,0.1551818],"category_scores_gemma":[0.00703671,0.0006588949,0.0006023645,0.005358221,0.0008230461,0.003148636,0.002409774,0.001383386,0.1353526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008949468,"about_ca_system_score_gemma":0.01428836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7009801,"about_ca_topic_score_gemma":0.7468678,"domain_scores_codex":[0.9971288,0.0001450044,0.00007965754,0.0003497029,0.001851103,0.0004457796],"domain_scores_gemma":[0.9944667,0.0001934223,0.0001391667,0.0008766371,0.003819984,0.0005040355],"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":[0.00006765837,0.00001617998,0.0008653409,0.00003003057,0.000006222856,0.00002497577,0.00005048545,0.000562036,0.0001975566,0.004653285,0.9725261,0.02100025],"study_design_scores_gemma":[0.00005509067,0.00001163514,0.00257473,0.0000432906,0.000008587735,0.00004331699,0.0001952417,0.01695636,0.001776074,0.005511832,0.9727864,0.00003735411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.008487986,0.000636755,0.01880783,0.002885816,0.0004711037,0.0003613042,0.4900473,0.08407094,0.394231],"genre_scores_gemma":[0.05895913,0.0007728802,0.02884508,0.0005889409,0.0001248424,0.0002530113,0.6150622,0.01726189,0.278132],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2990199,"threshold_uncertainty_score":0.6015617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159574726302622,"score_gpt":0.214031273106216,"score_spread":0.1924355258431898,"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."}}