{"id":"W3168811377","doi":"10.2139/ssrn.3970452","title":"Selection and Absolute Advantage in Farming and Entrepreneurship∗","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Agriculture; Entrepreneurship; Comparative advantage; Exploit; Sorting; Absolute (philosophy); Production (economics); Selection (genetic algorithm); Economics; Population; Panel data; Agricultural economics; Demographic economics; Geography; Econometrics; International trade; Demography; Microeconomics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001839086,0.0001281119,0.0003425995,0.0006912018,0.0004649258,0.0009937874,0.0002580475,0.0004219677,0.009095591],"category_scores_gemma":[0.007699132,0.00008566008,0.0002160532,0.0008195454,0.0008240851,0.0008208464,0.0007860984,0.0004594121,0.0004795271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781794,"about_ca_system_score_gemma":0.0001533789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005999214,"about_ca_topic_score_gemma":0.0009662437,"domain_scores_codex":[0.9995674,0.0001674294,0.0000324741,0.00007332446,0.0000560344,0.0001032814],"domain_scores_gemma":[0.989924,0.006104496,0.001694345,0.0005682998,0.0002748983,0.001434009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008817942,0.0003331311,0.9123678,0.00008472016,0.0001342677,0.0007044071,0.0007766078,0.001462049,0.003108356,0.02506163,0.0007938472,0.05429148],"study_design_scores_gemma":[0.00004319153,0.0004729593,0.9288349,0.00001889785,0.00004335305,0.0007285756,0.00153466,0.002880705,0.0008769926,0.06315432,0.001393168,0.0000183221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995005,0.0002358277,0.0007744668,0.0003284075,0.00001189325,0.000003200046,0.0000491988,0.000006940925,0.003585182],"genre_scores_gemma":[0.9991983,0.00003306908,0.00008836833,0.00002092396,0.00001821407,0.000001094372,0.00001854022,0.000001035232,0.0006204091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009095591,"threshold_uncertainty_score":0.03042775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130624584250252,"score_gpt":0.2091874096203815,"score_spread":0.197881163777879,"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."}}