{"id":"W3109732663","doi":"10.31046/proceedings.2020.1856","title":"“How Do You Do That?”","year":2020,"lang":"en","type":"article","venue":"ATLA Summary of Proceedings","topic":"Religious Tourism and Spaces","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collection development; Perpetuity; Session (web analytics); Conversation; Snapshot (computer storage); Data collection; Library science; Purchasing; Sociology; World Wide Web; Computer science; Engineering; Social science; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003142649,0.0001271096,0.0002289331,0.00004488567,0.0002441682,0.0002608119,0.0004496148,0.000124392,0.0000508081],"category_scores_gemma":[0.0002219469,0.0001149484,0.0001046023,0.0003540098,0.0002801314,0.0004964955,0.00008070312,0.0001382941,0.00002450225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002070184,"about_ca_system_score_gemma":0.00007471431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003838009,"about_ca_topic_score_gemma":0.00001887725,"domain_scores_codex":[0.9986994,0.00001313728,0.0001252324,0.0002891791,0.0005507619,0.0003223306],"domain_scores_gemma":[0.9993863,0.00004026115,0.0001467818,0.00006106431,0.0001401098,0.0002255381],"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":[0.00003684549,0.000027119,0.0567109,0.00009851196,0.00003103775,0.000007253378,0.04498377,1.871445e-7,0.001610264,0.03523497,0.8567185,0.004540664],"study_design_scores_gemma":[0.0002251538,0.0001104321,0.0005508346,0.0000527203,0.00002592458,7.399622e-7,0.02622639,0.00001037542,0.001683626,0.005357647,0.9655359,0.0002202507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4481434,0.00288817,0.00001444912,0.05072683,0.0002296657,0.0003474029,0.000006483521,0.0002117969,0.4974318],"genre_scores_gemma":[0.9903668,0.002706554,0.0004270271,0.0004710033,0.0006602483,0.000007358077,0.000001618674,0.00001510806,0.005344327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5422234,"threshold_uncertainty_score":0.468746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02538908631552965,"score_gpt":0.2598421420713443,"score_spread":0.2344530557558146,"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."}}