{"id":"W6930716221","doi":"10.5281/zenodo.12042376","title":"commercial real estate investing in canada pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Investment (military); Nucleofection; Estate; Government (linguistics)","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":["insufficient_payload"],"category_scores_codex":[0.0003236367,0.0006856527,0.0005192783,0.001670522,0.003389273,0.005725516,0.0008713449,0.0008694655,0.531015],"category_scores_gemma":[0.00124346,0.0004145259,0.0004640752,0.004667266,0.0005790063,0.001182698,0.0009553194,0.001325053,0.2020545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02772189,"about_ca_system_score_gemma":0.05525432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9539707,"about_ca_topic_score_gemma":0.9817207,"domain_scores_codex":[0.9992561,0.00001211132,0.00001562272,0.00006376929,0.0004696492,0.0001826872],"domain_scores_gemma":[0.9981232,0.00003933131,0.00002085645,0.00004985689,0.001305198,0.0004615956],"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":[0.0000125078,0.000008681156,0.0003862715,0.00004782452,0.000001834261,0.00002901747,0.00003457025,0.00004801175,0.00009601878,0.002472873,0.9695552,0.02730725],"study_design_scores_gemma":[0.000003877967,0.000003645348,0.002483363,0.00004542777,0.000002603996,0.00002204294,0.0001697064,0.00006852968,0.0001548339,0.0001780867,0.9968597,0.000008185952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002114114,0.001755635,0.0001821861,0.002590463,0.0008207185,0.00006479191,0.02346864,0.0007003908,0.9683031],"genre_scores_gemma":[0.004826048,0.001311337,0.0002046433,0.0002066888,0.00003354294,0.00001022898,0.004229287,0.0001792903,0.9889989],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9539707,"threshold_uncertainty_score":0.6689502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480212746239622,"score_gpt":0.2175480190061597,"score_spread":0.2027458915437634,"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."}}