{"id":"W2280859546","doi":"10.14288/1.0096158","title":"Cost competitiveness of apple production in British Columbia versus Washington State","year":2010,"lang":"en","type":"preprint","venue":"cIRcle (University of British Columbia)","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Production (economics); State (computer science); Agricultural economics; Economics; Business; Economic history; Computer science; Macroeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002339468,0.0002866922,0.0002180865,0.002146038,0.001055542,0.002376271,0.0006713575,0.0002764672,0.004149644],"category_scores_gemma":[0.001355351,0.0002354932,0.0002957416,0.003692023,0.0004014053,0.0004912927,0.0005896723,0.0003291376,0.0002272259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02737851,"about_ca_system_score_gemma":0.008013661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9550459,"about_ca_topic_score_gemma":0.9810489,"domain_scores_codex":[0.9995492,0.00004395787,0.00001337776,0.00005380512,0.0001815197,0.0001582234],"domain_scores_gemma":[0.9991918,0.0001649662,0.0001016793,0.00002779199,0.0003919417,0.0001217218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001118323,0.0002071808,0.7946653,0.0002895335,0.0002590599,0.002014533,0.001238252,0.06188402,0.008893448,0.009421704,0.007463402,0.1125453],"study_design_scores_gemma":[0.00002916714,0.000103789,0.9473835,0.0000957196,0.00008570362,0.0002014299,0.005975741,0.03325669,0.001681719,0.0006700243,0.01045427,0.00006235707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976872,0.0003667438,0.000301498,0.0001645891,0.000005964733,0.00003856434,0.00127696,0.00003051132,0.02094312],"genre_scores_gemma":[0.9912533,0.0003192154,0.0003773384,0.00002732586,0.000001606811,0.00001670546,0.001056375,0.00001250826,0.006935522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04495406,"threshold_uncertainty_score":0.1986459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238614296625894,"score_gpt":0.1945550138901982,"score_spread":0.1721688709239393,"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."}}