{"id":"W2319338665","doi":"10.1111/caje.12249","title":"Viewpoint: The human capital approach to inference","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inference; Context (archaeology); Computer science; Artificial intelligence; Machine learning; Causal inference; Econometrics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001154025,0.0003368145,0.0006829021,0.0003868655,0.0009038128,0.0004569743,0.002262043,0.0001819118,0.0001189428],"category_scores_gemma":[0.001840826,0.0003086445,0.0002256144,0.00005400571,0.0003826311,0.0006940932,0.00009398736,0.0006063079,0.00002231003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490621,"about_ca_system_score_gemma":0.001321203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08049142,"about_ca_topic_score_gemma":0.9428544,"domain_scores_codex":[0.9978778,0.0000653051,0.0009081659,0.0003427561,0.000004989081,0.0008010266],"domain_scores_gemma":[0.9951728,0.0002677663,0.001156709,0.001381674,0.0002862476,0.001734796],"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":[0.000006864524,0.00001096378,0.001054309,0.00002385849,0.00005924914,0.00003270051,0.001589868,0.0002097864,0.00003247747,0.994668,0.0008735916,0.001438311],"study_design_scores_gemma":[0.0002370993,0.0002049074,0.001268673,0.0001088299,0.00003767797,0.0002695076,0.0004821609,0.0001064921,0.0003569755,0.9897348,0.006800871,0.0003920078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826452,0.00004280097,0.002179835,0.003972053,0.0005195793,0.0004556738,0.00007789684,0.000016493,0.01009051],"genre_scores_gemma":[0.9894891,0.00002297404,0.00837455,0.0009106138,0.0005483655,0.00004389053,0.000003521719,0.00006541344,0.0005415264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.862363,"threshold_uncertainty_score":0.9999366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4020192808062404,"score_gpt":0.3037138214272396,"score_spread":0.09830545937900076,"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."}}