{"id":"W7054972416","doi":"","title":"Calgary Property Tax Gap for Small Businesses","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Property (philosophy); Property tax; Joins; Tax credit; Vice president; Ad valorem tax","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":[],"consensus_categories":[],"category_scores_codex":[0.0007396396,0.0005716286,0.0003247329,0.001705302,0.006864428,0.005638154,0.0008705917,0.002526672,0.2803914],"category_scores_gemma":[0.002998607,0.0004323245,0.0002898556,0.00175814,0.0004825265,0.001654855,0.001811062,0.003231116,0.1073843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01472066,"about_ca_system_score_gemma":0.03112634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6371787,"about_ca_topic_score_gemma":0.8108982,"domain_scores_codex":[0.9988232,0.00002422834,0.00002113802,0.0001032374,0.0007268644,0.0003012289],"domain_scores_gemma":[0.9981597,0.0000793002,0.00003966722,0.00009641134,0.001010635,0.0006143424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00000449857,0.000006227767,0.0001130611,0.000007640628,2.309771e-7,0.00001451634,0.00001468649,0.0000110058,0.00002535467,0.00219597,0.9866615,0.01094525],"study_design_scores_gemma":[0.00000270023,0.000003467263,0.001059547,0.00002053039,4.879486e-7,0.00001144811,0.00006036882,0.00002292627,0.00004232552,0.0002537275,0.9985197,0.000002895477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001292575,0.0016309,0.0002118429,0.01536842,0.002062092,0.000106717,0.005804237,0.0005459975,0.9729772],"genre_scores_gemma":[0.004453633,0.000955957,0.0002652079,0.002672895,0.0001598453,0.00004300709,0.002288554,0.0001282485,0.9890326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3628213,"threshold_uncertainty_score":0.9380026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078102013955993,"score_gpt":0.1754359191437044,"score_spread":0.1646548990041445,"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."}}