{"id":"W2606619961","doi":"","title":"Research Guides: Government Publications: Canadian Statistics: Housing","year":2013,"lang":"en","type":"libguides","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Statistics; Political science; Geography; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01217185,0.000315267,0.0004822497,0.001856591,0.0008787367,0.003419347,0.00218719,0.0004751439,0.01352551],"category_scores_gemma":[0.01158007,0.0002422525,0.0001348095,0.002165822,0.0002666531,0.0005172449,0.0002449197,0.0008148844,0.006134701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007651462,"about_ca_system_score_gemma":0.00202168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4293762,"about_ca_topic_score_gemma":0.4540274,"domain_scores_codex":[0.9876941,0.0006263932,0.001603708,0.001212649,0.007867042,0.0009960702],"domain_scores_gemma":[0.9889448,0.003712742,0.0004442868,0.00202092,0.004130076,0.0007472151],"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":[0.000001265761,0.00001568554,0.0002023399,0.000009629774,0.00002187734,0.000002884324,0.00009709031,0.00008457985,0.000001058685,0.02205016,0.9178587,0.05965478],"study_design_scores_gemma":[0.00007824154,0.0000340066,0.0004677534,0.0000606083,0.00001424195,0.000001821685,0.003811414,0.0123619,0.000002011317,0.07396792,0.9089286,0.0002715219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003285025,0.001192237,0.04111884,0.01487665,0.002163597,0.001015408,0.002865285,0.000168559,0.9362709],"genre_scores_gemma":[0.01394696,0.002280444,0.0592456,0.00347142,0.001042074,0.000387451,0.001121595,0.0001457627,0.9183587],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05938326,"threshold_uncertainty_score":0.9976152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3397508554262409,"score_gpt":0.4585336195070391,"score_spread":0.1187827640807982,"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."}}