{"id":"W4290695242","doi":"10.3386/w30319","title":"Origins of International Factor Structures","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Factor (programming language); Computer science","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":[0.0009439772,0.0006247182,0.0004577538,0.002156527,0.0006813646,0.002744994,0.0002951233,0.0004365784,0.007449889],"category_scores_gemma":[0.008903381,0.0002750905,0.0007593141,0.003173755,0.001460663,0.002354624,0.00104449,0.0007511678,0.0007031317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069765,"about_ca_system_score_gemma":0.0007273337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005199979,"about_ca_topic_score_gemma":0.003017422,"domain_scores_codex":[0.9994102,0.0001564078,0.00003302166,0.0002149024,0.0001098295,0.00007565238],"domain_scores_gemma":[0.9971565,0.001115135,0.0006023471,0.0005928814,0.0004009374,0.0001322442],"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":[0.0000829593,0.00003711833,0.06961002,0.00009718165,0.0001716321,0.0003306409,0.001810813,0.01736836,0.0007585774,0.8249589,0.002779678,0.08199418],"study_design_scores_gemma":[0.0000282076,0.00005047238,0.07287144,0.0001328117,0.0001118093,0.0004197422,0.0008922394,0.03958118,0.0005985464,0.8660179,0.01924562,0.00004996749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6778153,0.003493169,0.1688921,0.002556941,0.0001236816,0.00009204765,0.001914939,0.0004826362,0.1446292],"genre_scores_gemma":[0.9839935,0.0007233096,0.0119213,0.00006226118,0.00004712525,0.00003681472,0.0004898792,0.00003968919,0.002686045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007449889,"threshold_uncertainty_score":0.02492237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5588648992726206,"score_gpt":0.4841140908818257,"score_spread":0.0747508083907949,"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."}}