{"id":"W6949852096","doi":"10.5281/zenodo.3541243","title":"NPA_ref5301","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Microbial Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Micrococcus; Context (archaeology); Carotenoid; Characterization (materials science)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001161886,0.002239713,0.003677438,0.01038323,0.00494839,0.009209536,0.0050968,0.005984793,0.9012089],"category_scores_gemma":[0.007029674,0.001977933,0.00229353,0.01363653,0.001310994,0.007576399,0.00411851,0.003153509,0.8461226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003926171,"about_ca_system_score_gemma":0.006001669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101864,"about_ca_topic_score_gemma":0.009695931,"domain_scores_codex":[0.997866,0.00013728,0.0002683465,0.0003454786,0.00107329,0.0003095898],"domain_scores_gemma":[0.9944312,0.0007375047,0.0002449751,0.0006193779,0.003124869,0.0008419886],"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":[0.00008222198,0.00005492706,0.0001133101,0.001352308,0.00001321691,0.000124411,0.00002482348,0.00004822351,0.0006412566,0.00179132,0.9779658,0.01778822],"study_design_scores_gemma":[0.0000521858,0.00002226632,0.0009579322,0.0003538693,0.00001323557,0.0001440693,0.0000348546,0.0000533476,0.000474339,0.001148945,0.9967206,0.00002434591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000654219,0.004328404,0.0017511,0.00473193,0.03651827,0.0006187432,0.4526859,0.005088238,0.4936231],"genre_scores_gemma":[0.00485586,0.004605813,0.002895005,0.002707158,0.003774179,0.0005936864,0.5185785,0.003034306,0.4589555],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9012089,"threshold_uncertainty_score":0.1409135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356142465747782,"score_gpt":0.2276674349961463,"score_spread":0.2141060103386684,"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."}}