{"id":"W2477477217","doi":"10.14288/1.0095991","title":"The estimation of economic depreciation for Canadian farm machinery","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Economics; Estimation; Natural resource economics; Agricultural economics; Business; Econometrics; Public economics; Economic growth; Human capital","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":[0.0001098384,0.00001845227,0.00007798935,0.000003918968,0.0003352186,0.00004975124,0.0001778782,0.00005800887,0.00005059663],"category_scores_gemma":[0.00001574144,0.00002246163,0.00006713051,0.00004107719,0.0000636648,0.00008274119,0.0000179515,0.00004410231,0.000005155344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003280779,"about_ca_system_score_gemma":0.00002699158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8842343,"about_ca_topic_score_gemma":0.9988215,"domain_scores_codex":[0.9996784,0.000008257321,0.00007295713,0.0001007051,0.0000256711,0.0001140351],"domain_scores_gemma":[0.9996805,0.00008126919,0.00009825331,0.00003342715,0.00004192234,0.00006458821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000002403612,0.00000610834,0.005191157,0.000002775952,0.000007189052,1.986966e-7,0.00001881057,0.00002619974,0.001825437,0.0000803709,0.001005016,0.9918343],"study_design_scores_gemma":[0.00009139666,0.00003048168,0.9929897,0.000003827607,0.000005442221,0.000003319823,0.0001497745,0.001442444,0.00000435828,0.0009724408,0.004250858,0.00005596401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978873,0.00001396272,0.000004077689,0.0005146935,0.0001200188,0.0001527291,0.0004006845,0.000006930191,0.0008995811],"genre_scores_gemma":[0.9994676,0.00002456299,0.00008244563,0.00002004101,0.00005937105,5.299054e-7,0.00007135166,3.900706e-7,0.0002737661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9917784,"threshold_uncertainty_score":0.2578265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005879016798711913,"score_gpt":0.1609336140198295,"score_spread":0.1550545972211176,"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."}}