{"id":"W4394997077","doi":"10.55223/bej.16","title":"Santa Claus is coming!","year":2024,"lang":"en","type":"article","venue":"Behanomics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Claus process; Computer graphics (images); Computer science; Materials science","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":[0.0003707119,0.0001658182,0.0001442947,0.0004730812,0.003662974,0.001962794,0.0003333748,0.0005255681,0.06201721],"category_scores_gemma":[0.001485082,0.00007368586,0.0001266888,0.0005517427,0.000557765,0.0007045484,0.001043638,0.000892366,0.007859498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688657,"about_ca_system_score_gemma":0.002418147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1026809,"about_ca_topic_score_gemma":0.2605494,"domain_scores_codex":[0.9997917,0.00002810649,0.000004311225,0.00003146079,0.00007394687,0.00007063001],"domain_scores_gemma":[0.9993324,0.00005662895,0.0000731953,0.00005048167,0.0002233695,0.0002639957],"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":[0.0002456842,0.0000860185,0.0301776,0.0002089609,0.00001758281,0.0007612896,0.01015247,0.00008512198,0.001097329,0.02410487,0.6757932,0.2572699],"study_design_scores_gemma":[0.000004709811,0.00002198759,0.01894831,0.00008521265,0.000004878107,0.0001269843,0.005982006,0.00002885175,0.0001248328,0.0005764014,0.9740877,0.000008173984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.1620792,0.003896676,0.000410897,0.03862631,0.004235134,0.00004348789,0.001566557,0.0003154245,0.7888262],"genre_scores_gemma":[0.4742446,0.003962093,0.001047331,0.006195753,0.0008320255,0.00004202666,0.001204314,0.0001654278,0.5123063],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1026809,"threshold_uncertainty_score":0.2074682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757680559486039,"score_gpt":0.2369446120977981,"score_spread":0.2193678065029377,"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."}}