{"id":"W7058190634","doi":"","title":"Marriott notes revenue and occupancy improvements in China","year":2020,"lang":"en","type":"article","venue":"VTechWorks (Virginia Tech)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Occupancy; Revenue; China; Coronavirus disease 2019 (COVID-19); 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001699168,0.0001855798,0.0002222993,0.0001029312,0.00007491532,0.0000713534,0.0002642478,0.00006554813,0.022808],"category_scores_gemma":[0.00004416473,0.0001848094,0.00004807944,0.0004314727,0.00005480573,0.00003574624,0.0003281765,0.0004269275,0.0000736857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007063745,"about_ca_system_score_gemma":0.00004404293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001060202,"about_ca_topic_score_gemma":0.00006236171,"domain_scores_codex":[0.9987031,0.00003792764,0.0002784442,0.0003915196,0.0002312285,0.0003577423],"domain_scores_gemma":[0.9994166,0.00006176818,0.0000725913,0.0002686389,0.00002170768,0.000158617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000453336,0.00009544084,0.1171583,0.00004452132,0.00002068208,0.00001246891,0.000283884,0.0000024883,0.01381325,0.001336891,0.008592178,0.8585946],"study_design_scores_gemma":[0.00642375,0.0007727828,0.4903629,0.0003738283,0.00005553854,0.000001950605,0.0007231057,0.009170819,0.01380742,0.004872366,0.4719912,0.001444415],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442502,0.0002145641,0.00248118,0.01288926,0.0001051539,0.001117608,0.0001562801,0.0000972862,0.03868844],"genre_scores_gemma":[0.9972544,0.00002115688,0.0008784651,0.000212787,0.0001464496,0.00007283538,0.00001863427,0.00002122311,0.001374083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8571502,"threshold_uncertainty_score":0.9780853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008641107416120225,"score_gpt":0.2456555530300157,"score_spread":0.2370144456138955,"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."}}