{"id":"W3190126589","doi":"10.4324/9781003020264-2","title":"Disrupting the alibi","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alibi; Computer science; 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":[0.001942198,0.0004064034,0.0002924245,0.0006972023,0.01120297,0.008128226,0.0009770516,0.00335403,0.008777466],"category_scores_gemma":[0.002726923,0.000264294,0.0002175556,0.0005791462,0.02062635,0.008576568,0.006322549,0.006531144,0.002091288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006621437,"about_ca_system_score_gemma":0.006059098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02458802,"about_ca_topic_score_gemma":0.03635228,"domain_scores_codex":[0.9986885,0.00055408,0.00002910853,0.0002368193,0.000231832,0.0002596641],"domain_scores_gemma":[0.999385,0.000195008,0.00006003796,0.0001138329,0.0001294156,0.0001167606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001270113,0.00001060045,0.0002031794,0.00003468479,0.000001788224,0.0001227389,0.03658263,0.00003665114,0.0002142767,0.9369273,0.009681215,0.01617225],"study_design_scores_gemma":[0.000003092405,0.00001809612,0.0003979679,0.0002224537,0.000005405438,0.0001746043,0.01407916,0.0001418283,0.000299597,0.06905814,0.9155904,0.000009286442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02452246,0.009650663,0.004309126,0.03164607,0.001566417,0.00003484565,0.00001772248,0.00008846457,0.9281643],"genre_scores_gemma":[0.5456627,0.006871359,0.003967267,0.01342049,0.0006335055,0.00008495112,0.00002819216,0.0001821331,0.4291494],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02458802,"threshold_uncertainty_score":0.04888982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126699597532708,"score_gpt":0.2145596136355535,"score_spread":0.1932926176602264,"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."}}