{"id":"W4221017395","doi":"10.22215/ff/v1.i1.06","title":"Welcome to Facts & Frictions","year":2022,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cambridge; Government of Canada; University of Toronto; Strong; Concordia University; Harvard University","keywords":"Mathematical economics; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003725963,0.0009557483,0.001043161,0.002787675,0.006822446,0.01548561,0.002132634,0.01403078,0.1896751],"category_scores_gemma":[0.03823211,0.0008420423,0.0008357223,0.003079207,0.003015986,0.01307744,0.003543317,0.01446407,0.105289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006109969,"about_ca_system_score_gemma":0.006099102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03580749,"about_ca_topic_score_gemma":0.03619211,"domain_scores_codex":[0.9945663,0.0006475893,0.0003197757,0.0005939364,0.003196008,0.00067635],"domain_scores_gemma":[0.9876379,0.004624808,0.001042122,0.001932901,0.003814905,0.0009474258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008597354,0.000005662045,0.0000642911,0.00002094502,0.000001367617,0.00005587183,0.00005512256,0.00004964455,0.00001226609,0.02175686,0.971998,0.00597135],"study_design_scores_gemma":[0.000003754346,0.000002460803,0.0001139776,0.00007995249,0.000001370694,0.0000494825,0.00007563991,0.00004583459,0.00003205665,0.0075303,0.9920546,0.00001060197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0008955674,0.007532784,0.001955689,0.2036346,0.04154937,0.00006604876,0.00429495,0.0008583365,0.7392126],"genre_scores_gemma":[0.02876681,0.008757384,0.001933896,0.07348179,0.01741045,0.0001508318,0.004240961,0.001387884,0.86387],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1896751,"threshold_uncertainty_score":0.6345266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07778336608431874,"score_gpt":0.2215919814857449,"score_spread":0.1438086154014262,"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."}}