{"id":"W6923526659","doi":"10.14288/1.0366448","title":"Lid","year":2018,"lang":"en","type":"other","venue":"Open Collections","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engraving; Feature (linguistics); Calendering","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":[0.0009663777,0.001020441,0.0006643995,0.002686085,0.005303794,0.00644688,0.00188148,0.001593977,0.6718094],"category_scores_gemma":[0.004668895,0.0005935919,0.000680832,0.003314371,0.001537629,0.003984048,0.005217106,0.002381909,0.5135438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003193804,"about_ca_system_score_gemma":0.006148125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0957623,"about_ca_topic_score_gemma":0.1860478,"domain_scores_codex":[0.9989202,0.00008382656,0.00004515842,0.0001975537,0.0005719656,0.0001813225],"domain_scores_gemma":[0.9972621,0.0001887678,0.00006464058,0.0006271063,0.001337749,0.0005195445],"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":[0.00004514985,0.00001044714,0.0001338776,0.0000648411,0.000002255908,0.00005901396,0.0001570642,0.00004830711,0.0003738261,0.01079706,0.9508448,0.03746334],"study_design_scores_gemma":[0.000002529414,0.00000181172,0.00009241985,0.0000219981,0.000001062163,0.00004309583,0.00006480825,0.00002497816,0.0001460836,0.0004984413,0.9990979,0.000004816239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006696017,0.0004163524,0.007737716,0.001371557,0.003444586,0.0001692644,0.010368,0.009232544,0.9665904],"genre_scores_gemma":[0.004573124,0.0004089522,0.004364332,0.0008401265,0.0002827844,0.00009096121,0.006757975,0.006110153,0.9765717],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3281906,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199598483835535,"score_gpt":0.3094604255165884,"score_spread":0.2895005771330349,"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."}}