{"id":"W4413506510","doi":"10.64628/aam.5qguhxqc7","title":"One-third of Canadian seniors who rent or pay a mortgage are struggling to pay their bills","year":2022,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mortgage underwriting; Business; Shared appreciation mortgage; Labour economics; Economics; Finance; Actuarial science; Mortgage insurance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000735943,0.0004306004,0.0004330986,0.001552334,0.006072509,0.002109903,0.001101582,0.001331058,0.03406445],"category_scores_gemma":[0.003421491,0.000252012,0.0008416437,0.003785675,0.0008057008,0.0007576701,0.001374593,0.001671442,0.005010957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01107158,"about_ca_system_score_gemma":0.03997856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9672537,"about_ca_topic_score_gemma":0.9880595,"domain_scores_codex":[0.9982142,0.00005573251,0.0000496634,0.00007303194,0.0007280455,0.0008793659],"domain_scores_gemma":[0.9962936,0.0001070344,0.0004456437,0.00006507026,0.001192288,0.001896372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001452492,0.0002070062,0.455294,0.000197979,0.00006360006,0.0008167745,0.004023058,0.00009538153,0.0004919522,0.002734296,0.4171887,0.118742],"study_design_scores_gemma":[0.00003811873,0.00009088957,0.6074569,0.0005240996,0.00009647033,0.001207141,0.03124909,0.0003336361,0.0002365859,0.0006976488,0.3579784,0.00009092312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.671466,0.008796455,0.0006705885,0.06026918,0.002681767,0.0003083173,0.0185544,0.000305308,0.236948],"genre_scores_gemma":[0.7750685,0.01111379,0.0009105283,0.03470458,0.0004484838,0.0001146116,0.007057714,0.00009173231,0.1704899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03406445,"threshold_uncertainty_score":0.1139569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0663029560878241,"score_gpt":0.2840285470658235,"score_spread":0.2177255909779994,"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."}}