{"id":"W7005535015","doi":"","title":"Retiring From Tourism","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Work (physics); Government (linguistics); Tourist industry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002403422,0.0002875118,0.000311391,0.00007057431,0.00007343025,0.00003996792,0.000545933,0.0004863573,0.4575877],"category_scores_gemma":[0.0002318518,0.0002844637,0.0001804502,0.000007496009,0.0001835578,1.574282e-8,0.000444958,0.0003058737,0.003366234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003030632,"about_ca_system_score_gemma":0.00006725658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002807637,"about_ca_topic_score_gemma":0.0007038894,"domain_scores_codex":[0.9981642,0.00007104901,0.0005619976,0.0002406128,0.0006119016,0.0003502364],"domain_scores_gemma":[0.9987778,0.00003420855,0.0003749205,0.0005435067,0.00009217228,0.0001773834],"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":[0.00005789053,0.00003362614,0.000006849433,0.0001853033,0.00009319743,0.000009147027,0.000042487,0.00002096779,0.00002128743,0.000002116423,0.9956288,0.003898277],"study_design_scores_gemma":[0.0004646654,0.0002691172,0.00001329297,0.00005969388,0.00002875855,0.00001233894,0.0001495131,0.00001213782,0.0002019565,0.000008411227,0.9984908,0.0002893451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002721708,0.0008056118,0.000001653237,0.0001367052,0.0003380867,0.0003150528,0.0004906585,0.00004668719,0.9975934],"genre_scores_gemma":[0.0005230544,0.001435736,0.001459883,0.0003996198,0.0004805907,0.00001967746,0.002069331,0.0001099264,0.9935022],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4542215,"threshold_uncertainty_score":0.9999608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007057395920400747,"score_gpt":0.2073919667954966,"score_spread":0.2003345708750958,"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."}}