{"id":"W6997346944","doi":"","title":"Waitman Part One: It was the best of times, it was the worst of times","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curran; Pandemic; Compliance (psychology); Coronavirus disease 2019 (COVID-19); Public sector","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":[0.0004115489,0.0004296512,0.0002958002,0.0005161766,0.009377473,0.008227405,0.0006075873,0.002634161,0.4193444],"category_scores_gemma":[0.003089389,0.0004285619,0.0002518318,0.0008140563,0.001163563,0.003014329,0.002174644,0.003368946,0.1915201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004113305,"about_ca_system_score_gemma":0.007302903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2491272,"about_ca_topic_score_gemma":0.6103293,"domain_scores_codex":[0.9993984,0.00003676531,0.00001536609,0.00005256643,0.0002818804,0.0002151176],"domain_scores_gemma":[0.9983668,0.00009744417,0.00005058125,0.00006798446,0.000580155,0.0008370117],"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":[0.000004368534,0.000002472724,0.00007062684,0.00001064325,2.970311e-7,0.00002162588,0.00009678895,0.000002520335,0.00003660293,0.0005722376,0.9958729,0.003308918],"study_design_scores_gemma":[9.95077e-7,0.000002136917,0.0002898225,0.00001793308,5.61899e-7,0.00001844804,0.0005236274,0.000004553078,0.00003475633,0.00006923516,0.9990338,0.000004074578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001884698,0.002482079,0.0001855975,0.05585319,0.009638157,0.00005536001,0.001511575,0.000565972,0.9278234],"genre_scores_gemma":[0.002784554,0.0003287366,0.000030763,0.003854367,0.0001456422,0.000007653056,0.0001297247,0.0001166632,0.9926018],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4193444,"threshold_uncertainty_score":0.8282347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250663242908667,"score_gpt":0.2059549496896975,"score_spread":0.1934483172606109,"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."}}