{"id":"W6926855255","doi":"10.25318/3410002401-eng","title":"Capital and repair expenditures, real estate and rental and leasing","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Renting; Capital (architecture); Capital expenditure; Rental housing; Real estate investment trust","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":[],"consensus_categories":[],"category_scores_codex":[0.0000950117,0.0002164801,0.0002984488,0.00007618701,0.00009800463,0.00004726836,0.00003196995,0.0001310245,0.00004550706],"category_scores_gemma":[0.0002352246,0.0001873333,0.00001102236,0.00003264279,0.00008751108,0.00004598484,0.00005458858,0.0002275006,5.677033e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207037,"about_ca_system_score_gemma":0.0001799069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1650143,"about_ca_topic_score_gemma":0.329118,"domain_scores_codex":[0.9989483,0.00002749249,0.000212783,0.0003914229,0.0002473546,0.0001726839],"domain_scores_gemma":[0.9993341,0.0001533352,0.0001358644,0.0001766404,0.00006296093,0.0001370759],"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":[0.00005311442,0.00001220853,0.00005498072,0.0008133053,0.00003862381,0.0001356301,0.00005154124,2.271815e-8,0.0009935746,0.0000167725,0.9880943,0.009735871],"study_design_scores_gemma":[0.0005929112,0.0002664423,0.04371598,0.0007334519,0.0006782505,0.0005108503,0.0007336923,0.00005584668,0.0007231183,0.0000293944,0.9513162,0.0006438658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02904509,0.0005520075,0.000001884997,0.0001851577,0.000273786,0.0003092456,0.969598,0.000009818345,0.0000249923],"genre_scores_gemma":[0.01281566,0.006150796,0.0005974687,0.00005899446,0.0001212259,9.200463e-7,0.9798013,0.00001715264,0.000436495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1641038,"threshold_uncertainty_score":0.840546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006741921386876198,"score_gpt":0.2533892610856387,"score_spread":0.2466473396987625,"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."}}