{"id":"W4289238916","doi":"10.3905/jsf.2022.28.2.104","title":"Highlights from Global Capital","year":2022,"lang":"en","type":"article","venue":"The journal of structured finance","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Quarter (Canadian coin); Management; Operations research; Computer science; Engineering; Economics; Artificial intelligence; History; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001924502,0.001039733,0.0005518763,0.001599244,0.001896934,0.01066296,0.001034817,0.004502131,0.07425318],"category_scores_gemma":[0.008509605,0.0002965203,0.0005884598,0.00304047,0.001375783,0.006163892,0.002994056,0.006384045,0.02367691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004115722,"about_ca_system_score_gemma":0.006771464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008482151,"about_ca_topic_score_gemma":0.0151803,"domain_scores_codex":[0.9984712,0.0002307019,0.00006259699,0.0002291778,0.0006342432,0.0003720502],"domain_scores_gemma":[0.9960116,0.001056127,0.0003130715,0.0001715039,0.001256748,0.001190864],"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":[0.000004421973,0.000001218244,0.0000201419,0.00006456062,9.17903e-7,0.00002049242,0.0000219526,0.000006722908,0.00000741425,0.001575979,0.992121,0.00615515],"study_design_scores_gemma":[0.000001730165,0.000002449506,0.0001209985,0.0001247197,0.000001214346,0.00002954949,0.00007887443,0.000006218846,0.00001457443,0.0006192602,0.9989976,0.000002787672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0004134847,0.09526211,0.0001959108,0.6212614,0.1995939,0.00002478622,0.00130171,0.0001605689,0.08178613],"genre_scores_gemma":[0.01978509,0.1296264,0.0005484763,0.340504,0.1902683,0.00009817867,0.001628113,0.0004367754,0.3171047],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07425318,"threshold_uncertainty_score":0.2484016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007570959451614515,"score_gpt":0.2400684100509045,"score_spread":0.23249745059929,"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."}}