{"id":"W1585507116","doi":"","title":"Comment on \"Federal Credit and Insurance Programs: Housing\"","year":2005,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Mortgage insurance; Finance; Competitor analysis; Government (linguistics); Financial system; Insurance policy; Casualty insurance; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003365092,0.001277611,0.001216058,0.001143674,0.009134787,0.004061829,0.004193854,0.0744494,0.01903532],"category_scores_gemma":[0.01354518,0.001167944,0.001697185,0.001396392,0.003620005,0.004942746,0.003178601,0.04232252,0.01087266],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006939401,"about_ca_system_score_gemma":0.009851828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1615539,"about_ca_topic_score_gemma":0.1724288,"domain_scores_codex":[0.9967759,0.0003935917,0.000243073,0.0005914319,0.001009208,0.0009867722],"domain_scores_gemma":[0.9951599,0.002470349,0.000381222,0.0002079147,0.001146976,0.0006337397],"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":[0.00001944462,0.0000117798,0.0003677605,0.00002507816,0.00000365727,0.0001876033,0.000199107,0.00001877697,0.00007290667,0.003383017,0.9943963,0.00131454],"study_design_scores_gemma":[0.0000577101,0.00003112407,0.006081524,0.000364424,0.00002230361,0.0001964951,0.001036457,0.0001378019,0.0002787448,0.002935438,0.988791,0.00006689121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001041621,0.001172143,0.0001464509,0.956789,0.0188454,0.00005804047,0.0007863581,0.0001323355,0.02102862],"genre_scores_gemma":[0.002288602,0.000263941,0.00005134145,0.9801329,0.00439233,0.00008181368,0.00008114047,0.00001992761,0.01268793],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9930606,"threshold_uncertainty_score":0.321227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03839905951490698,"score_gpt":0.2247487506335871,"score_spread":0.1863496911186801,"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."}}