{"id":"W4377022224","doi":"10.1093/oso/9780192844569.002.0005","title":"Preface","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gratitude; Hospitality; Management; Sociology; Library science; Law; Political science; Psychology; Tourism","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":[0.0004910071,0.0006757198,0.0005370872,0.002286073,0.001928871,0.004143758,0.001004835,0.0009401181,0.405403],"category_scores_gemma":[0.003519224,0.0003232645,0.0004220387,0.002563997,0.0006818238,0.002976592,0.001609166,0.002272137,0.2461427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002096343,"about_ca_system_score_gemma":0.001468204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004270312,"about_ca_topic_score_gemma":0.004959244,"domain_scores_codex":[0.9994488,0.00007146757,0.00002847212,0.00008077188,0.0003300385,0.00004044543],"domain_scores_gemma":[0.9987025,0.0002702345,0.00005589212,0.0001487063,0.0007073811,0.0001152683],"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":[0.00001373856,0.00001284126,0.00004350789,0.000118547,0.00000132488,0.0000381018,0.0001631965,0.00006174343,0.00008343566,0.009853332,0.9473997,0.04221049],"study_design_scores_gemma":[0.000001159472,0.000002773694,0.00007815137,0.0000881693,6.294016e-7,0.00003422023,0.00005923218,0.00001279136,0.0000291488,0.001252907,0.9984387,0.000002083684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000661719,0.006306985,0.001922152,0.006632888,0.01732396,0.0001760183,0.004603191,0.0005837509,0.9617894],"genre_scores_gemma":[0.002815147,0.003029335,0.000947218,0.001480995,0.002800345,0.00008144908,0.00339042,0.0004847844,0.9849703],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.405403,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1215384630998906,"score_gpt":0.3299127425717238,"score_spread":0.2083742794718331,"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."}}