{"id":"W7065761584","doi":"","title":"Exceeding Customer Expectations, Part 1","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Power (physics); Customer service; Product (mathematics); Government (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.002509425,0.0007592602,0.0004216338,0.0006846165,0.003292968,0.01006264,0.00100308,0.006309905,0.26195],"category_scores_gemma":[0.01135845,0.0003791172,0.0004929284,0.001044819,0.0007628418,0.00340405,0.002585259,0.004011672,0.1844555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00269276,"about_ca_system_score_gemma":0.007531606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011088,"about_ca_topic_score_gemma":0.01675724,"domain_scores_codex":[0.9957072,0.0004631283,0.0001885276,0.0003029329,0.002644843,0.0006934348],"domain_scores_gemma":[0.9931118,0.00100726,0.0002182073,0.0003479552,0.003475981,0.001838761],"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":[0.000005410891,0.00002544645,0.0001859324,0.00003846406,8.826629e-7,0.00002766465,0.00006630312,0.00002813377,0.00008663637,0.00174193,0.9720876,0.02570563],"study_design_scores_gemma":[0.000005003601,0.00002085594,0.001676221,0.0001337243,0.000001816803,0.00008224128,0.0001804331,0.00005743744,0.00007824518,0.0006736641,0.9970797,0.00001071045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001292766,0.003519794,0.0005571333,0.04190306,0.008554401,0.0002653967,0.000848524,0.0004956546,0.9425633],"genre_scores_gemma":[0.01350727,0.005443729,0.000879654,0.03524477,0.003230068,0.0003007956,0.001670075,0.0003376402,0.939386],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.26195,"threshold_uncertainty_score":0.8763101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008410565060645435,"score_gpt":0.1951869507129733,"score_spread":0.1867763856523278,"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."}}