{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004119501,0.0001934246,0.0004581067,0.0001173106,0.0001692565,0.0001037048,0.0001644995,0.00005616741,0.0006299844],"category_scores_gemma":[0.00001867296,0.0002286603,0.00008310658,0.00010453,0.00005868933,0.0001935314,0.00002291448,0.0001429069,0.0007239008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005327555,"about_ca_system_score_gemma":0.00005540438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02381429,"about_ca_topic_score_gemma":0.06102266,"domain_scores_codex":[0.9986525,0.00001787119,0.0005051843,0.000376164,0.00002362177,0.0004247058],"domain_scores_gemma":[0.999101,0.00001727809,0.000160914,0.0003106267,0.0000098663,0.0004003453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009653494,0.00008881634,0.1793748,0.0005984477,0.00007269312,0.00001528372,0.0001220599,0.000009185349,1.198396e-7,0.006637671,0.2398614,0.5732099],"study_design_scores_gemma":[0.0002526296,0.00006082518,0.003225199,0.0005405617,0.00000612069,0.000005990762,0.00001409598,0.0001086884,0.000001016964,0.0004123347,0.9951023,0.0002702685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2438941,0.2174731,0.00004476268,0.2397835,0.001676813,0.002819603,0.0007241441,0.0001612425,0.2934227],"genre_scores_gemma":[0.6758281,0.1700663,0.001015208,0.1521693,0.0004544088,0.00009810471,0.0001229952,0.00006051617,0.0001850607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7552409,"threshold_uncertainty_score":0.9826862,"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."}}