{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001346784,0.0006039946,0.0005194866,0.001036882,0.003130209,0.003960026,0.0009046316,0.001808436,0.4261294],"category_scores_gemma":[0.003990876,0.0002777136,0.0006003043,0.001104966,0.0003717772,0.001493976,0.002744022,0.002236376,0.3364104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033333,"about_ca_system_score_gemma":0.006011999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01228768,"about_ca_topic_score_gemma":0.04743257,"domain_scores_codex":[0.9991269,0.00008154789,0.00004135035,0.00008566464,0.0003184577,0.0003460819],"domain_scores_gemma":[0.9920226,0.0001437321,0.00009258145,0.0001784929,0.001530642,0.006031898],"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":[0.0000089487,0.00001629756,0.0003490388,0.00002649453,0.00000111673,0.00006981684,0.00003040424,0.000008591833,0.00005605363,0.000196393,0.967632,0.03160483],"study_design_scores_gemma":[0.00000597637,0.00002250083,0.0015707,0.00004079398,0.000001581911,0.00007424725,0.0003719256,0.00001743104,0.00002931733,0.0001370654,0.9977228,0.000005704487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008669321,0.007719844,0.001046591,0.1551208,0.1129421,0.0003528823,0.005640272,0.001861826,0.7066463],"genre_scores_gemma":[0.003497475,0.001732053,0.0002105156,0.01398393,0.002377463,0.00006257404,0.001556662,0.0002330468,0.9763463],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4261294,"threshold_uncertainty_score":0.8185568,"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."}}