{"id":"W2764285516","doi":"","title":"We See Thee Rise: Quantifying Farm Size Expansion in Canada","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Agricultural economics; Agriculture; Economics; Endowment; Capital (architecture); Distribution (mathematics); Total factor productivity; Land Values; Value (mathematics); Technological change; Agricultural science; Productivity; Land use; Geography; Environmental science; Statistics; Mathematics; Ecology; Market economy; Economic growth","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":[0.001081169,0.0003867021,0.0006733412,0.00005394912,0.0003704355,0.0003153003,0.001470909,0.0004255957,0.0002908988],"category_scores_gemma":[0.0003666627,0.0001817342,0.0001753046,0.00009796982,0.0001342268,0.0001082662,0.0014252,0.001620139,0.00001778317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002193338,"about_ca_system_score_gemma":0.0008790572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8158227,"about_ca_topic_score_gemma":0.9897379,"domain_scores_codex":[0.996797,0.0002347287,0.0006999667,0.0009950526,0.000216836,0.001056428],"domain_scores_gemma":[0.9979028,0.001020879,0.0003435669,0.0004030692,0.00006516562,0.0002645282],"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":[0.00008410132,0.00008702491,0.05117533,0.00008732942,0.00004191475,0.00007306827,0.0003276366,0.002489329,0.003104625,0.0002400542,0.0004143229,0.9418753],"study_design_scores_gemma":[0.0006535226,0.0001319421,0.7631298,0.0006961423,0.000008868226,0.00001749722,0.004695786,0.004916105,0.0004197845,0.003032929,0.2207627,0.001534929],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630237,0.0003403774,7.631054e-9,0.003872208,0.0004670209,0.000581458,0.0002079463,0.00001748316,0.03148983],"genre_scores_gemma":[0.9758844,0.02108928,0.00002854304,0.0001146616,0.0005054559,0.0001103791,0.00007917069,0.000005479306,0.002182614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9403403,"threshold_uncertainty_score":0.7410905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06968291885519344,"score_gpt":0.3092218811166212,"score_spread":0.2395389622614278,"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."}}