{"id":"W2746400031","doi":"","title":"Canada Mortgage and Housing Corporation in Motion: Video Supplement","year":2017,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Corporation; Business; Finance; Motion (physics); Computer science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003463905,0.00121319,0.0008619994,0.00288614,0.003500447,0.00268787,0.001067503,0.003028951,0.5795605],"category_scores_gemma":[0.003344935,0.0004710461,0.0007267413,0.004421734,0.0004481951,0.001424551,0.001320476,0.001901733,0.1038938],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007958538,"about_ca_system_score_gemma":0.009673299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6853804,"about_ca_topic_score_gemma":0.8970025,"domain_scores_codex":[0.9994573,0.0000233166,0.00001192223,0.00002771382,0.000304325,0.0001754226],"domain_scores_gemma":[0.9971375,0.0006168432,0.00008912618,0.00009349924,0.001679468,0.0003835143],"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":[0.00000950033,0.000009703723,0.00006324484,0.00002376894,6.326951e-7,0.00002533426,0.00001482788,0.00002569266,0.00001649527,0.0001680606,0.997111,0.002531719],"study_design_scores_gemma":[0.0000402143,0.00001014499,0.005308551,0.0001491692,0.000003764349,0.00003616794,0.0002529367,0.0001972955,0.00007911053,0.0005206016,0.9933877,0.00001430808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003295955,0.002398183,0.000739167,0.0236889,0.02440942,0.001019978,0.1805732,0.001127079,0.762748],"genre_scores_gemma":[0.01452623,0.00226285,0.001328215,0.007094146,0.01069536,0.0005289903,0.03602127,0.0005154242,0.9270274],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9920415,"threshold_uncertainty_score":0.6329449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03051012754960353,"score_gpt":0.2927440453471352,"score_spread":0.2622339177975316,"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."}}