{"id":"W7062593417","doi":"","title":"Vancouver Consumer Oct. 30 - Angela Calla Talks Real Estate","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Calla; Real estate; Estate; Rationing","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008187827,0.0004257717,0.0004229794,0.0001201406,0.0000409557,0.00002993871,0.0003201352,0.0005559996,0.3654066],"category_scores_gemma":[0.00005282368,0.000391494,0.0001110766,0.000007573835,0.0001750633,4.269846e-7,0.00007678661,0.000269256,0.02149518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009566029,"about_ca_system_score_gemma":0.0000200228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007610817,"about_ca_topic_score_gemma":0.003239309,"domain_scores_codex":[0.9985296,0.00002399736,0.0005885969,0.0001936962,0.0003010985,0.0003630014],"domain_scores_gemma":[0.9989569,0.00007357813,0.0002923806,0.0004883098,0.00009789608,0.00009089937],"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":[0.00001081582,0.000008341495,0.000001029741,0.0002365672,0.00007881507,0.00001631857,0.00004965071,0.001614351,0.000003192737,0.00001520161,0.9809334,0.01703235],"study_design_scores_gemma":[0.00040475,0.00003719264,9.143238e-7,0.0001499207,0.00002869441,0.0000163574,0.00005460475,0.00006285438,0.0001420805,0.000009871947,0.9986359,0.0004568985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002069364,0.0002594234,0.00002553282,0.00002293849,0.0009331583,0.0003528241,0.000349084,0.00157537,0.996461],"genre_scores_gemma":[0.0001810267,0.005315047,0.002690535,0.00004610167,0.0001222351,0.00003269101,0.00008805105,0.0002413348,0.991283],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3439114,"threshold_uncertainty_score":0.9998537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004178282318526559,"score_gpt":0.1814708147451885,"score_spread":0.1772925324266619,"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."}}