{"id":"W7028738202","doi":"","title":"Gripping Medical Thrillers with Author Melissa Yi on Book Lights","year":2022,"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":"Product (mathematics); Spare part; Melissa officinalis; Power (physics); Host (biology)","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":[0.0002911371,0.000575977,0.0003567434,0.001049038,0.002163034,0.003650905,0.0005951228,0.001204194,0.6609376],"category_scores_gemma":[0.002301275,0.0003456878,0.0002699853,0.0006664615,0.00044451,0.002384085,0.00206677,0.002001983,0.5753062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007121147,"about_ca_system_score_gemma":0.000784287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003999805,"about_ca_topic_score_gemma":0.01627756,"domain_scores_codex":[0.9997043,0.000032941,0.000009676494,0.0000359231,0.0001618572,0.00005532803],"domain_scores_gemma":[0.9987313,0.0001827937,0.00005380551,0.00008882432,0.0003984746,0.0005447224],"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":[0.000003538486,0.000004810988,0.0000254594,0.00001168283,2.362917e-7,0.00002071469,0.00002861257,0.000002641214,0.00003300606,0.0002979679,0.989956,0.009615354],"study_design_scores_gemma":[0.000001486617,0.00000411795,0.000094032,0.00002889499,4.101995e-7,0.00005846196,0.00009251538,0.000007902646,0.00004932413,0.000117494,0.9995433,0.000002101529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004504977,0.001756845,0.0003219666,0.007618951,0.004134829,0.00003813032,0.0004641283,0.001611877,0.9836028],"genre_scores_gemma":[0.0009829482,0.000447828,0.0001180391,0.001549863,0.000366097,0.000007358123,0.000108125,0.0002874541,0.9961321],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3390624,"threshold_uncertainty_score":0.4836313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006829110532201095,"score_gpt":0.1968273809463094,"score_spread":0.1899982704141083,"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."}}