{"id":"W4308987268","doi":"10.3386/w30650","title":"Trade and Selection with Heterogeneous Firms and Perfect Competition","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Selection (genetic algorithm); Competition (biology); Business; Industrial organization; Computer science; International trade; Artificial intelligence; Biology; Ecology","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":[0.002161642,0.0005204637,0.001317329,0.0008035176,0.0007075645,0.002778547,0.001127398,0.001749948,0.007300597],"category_scores_gemma":[0.003298841,0.0004111996,0.0009894265,0.0009266346,0.002745001,0.002817339,0.001239594,0.001331014,0.0005915276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799577,"about_ca_system_score_gemma":0.000799432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004502413,"about_ca_topic_score_gemma":0.002968536,"domain_scores_codex":[0.9987308,0.0005634818,0.0000444075,0.0001793631,0.0001583976,0.0003235325],"domain_scores_gemma":[0.9976206,0.001183583,0.0005832931,0.0001890704,0.000100588,0.0003227679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002346008,0.00014118,0.003465949,0.000064593,0.00007090858,0.0009316105,0.0002408206,0.1629183,0.0006475734,0.8226184,0.001734672,0.006931277],"study_design_scores_gemma":[0.0003940232,0.0001402293,0.002854382,0.00002908283,0.00004334933,0.0003206056,0.0002445233,0.3146253,0.0002353404,0.677981,0.003085962,0.00004627155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6965435,0.001255327,0.2102102,0.007844828,0.0001831266,0.0001453625,0.0006995387,0.0001501011,0.08296809],"genre_scores_gemma":[0.9842324,0.0003657477,0.002938986,0.000238501,0.0001089763,0.00003289472,0.00007047379,0.000008297299,0.01200363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007300597,"threshold_uncertainty_score":0.02442288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.235148232307698,"score_gpt":0.4053363942943726,"score_spread":0.1701881619866746,"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."}}