{"id":"W6984052939","doi":"","title":"502 Thomas Lecaque","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Countdown; Glory; Quarter (Canadian coin); Style (visual arts); Crowds; Thursday; Evening","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":["insufficient_payload"],"category_scores_codex":[0.0004694003,0.00121608,0.0004812082,0.002184349,0.005083166,0.005432101,0.0006946202,0.002947515,0.5439555],"category_scores_gemma":[0.002241665,0.0004465871,0.0003561735,0.001804378,0.0008407155,0.00292915,0.003246173,0.004357114,0.3660007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00373591,"about_ca_system_score_gemma":0.00228145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0257776,"about_ca_topic_score_gemma":0.06830371,"domain_scores_codex":[0.9994758,0.00008567642,0.00002012908,0.00008980918,0.0002045589,0.0001239965],"domain_scores_gemma":[0.9991521,0.0001190241,0.00004665746,0.00004666863,0.000390093,0.000245457],"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":[0.000002242612,0.000002446122,0.00001409474,0.000009730638,1.951935e-7,0.0000117526,0.00003192644,0.000002289838,0.00001879625,0.0006843337,0.9953994,0.003822809],"study_design_scores_gemma":[5.618282e-7,7.932543e-7,0.00004399368,0.00003091044,1.399977e-7,0.00001342101,0.00004911717,0.000003496753,0.000008881677,0.00007157891,0.9997761,0.000001089528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003657978,0.01488825,0.0002210845,0.03075175,0.02538599,0.00006304021,0.001351885,0.0005255158,0.9264467],"genre_scores_gemma":[0.001179224,0.001762797,0.00004831727,0.004906317,0.00211136,0.00002568873,0.0002338277,0.0001813088,0.9895511],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4560445,"threshold_uncertainty_score":0.6504921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491691018432728,"score_gpt":0.2522687659590696,"score_spread":0.2273518557747423,"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."}}