{"id":"W6968757682","doi":"10.5281/zenodo.3541282","title":"NPA_ref6753","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Micrococcus; Context (archaeology); Bacteria; Identification (biology)","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":[0.001193337,0.002513508,0.003948699,0.01728002,0.003970481,0.01112594,0.004322791,0.005209976,0.8985818],"category_scores_gemma":[0.007352289,0.00145455,0.00240342,0.01891499,0.001325194,0.007090658,0.004147599,0.002415359,0.8018904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004553794,"about_ca_system_score_gemma":0.007806879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01338433,"about_ca_topic_score_gemma":0.01320116,"domain_scores_codex":[0.9980203,0.0001249367,0.0002954428,0.0003280838,0.0009387247,0.0002925631],"domain_scores_gemma":[0.994474,0.0007005082,0.0003112418,0.0004640299,0.003141497,0.0009087708],"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":[0.00006929223,0.00003906403,0.0001356306,0.002415441,0.00002064946,0.0001161669,0.00002905155,0.0000436088,0.0003750943,0.001694033,0.9714943,0.02356781],"study_design_scores_gemma":[0.00005848813,0.00002097424,0.001097727,0.0006121707,0.00002475785,0.0001125189,0.000040108,0.00003437743,0.0002421689,0.001045001,0.9966898,0.00002180489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006112606,0.007046643,0.0008220556,0.004758512,0.03297037,0.0006470841,0.3606948,0.002915212,0.5895341],"genre_scores_gemma":[0.00521,0.009646446,0.002995934,0.003324591,0.006625272,0.0008125241,0.3882762,0.002891057,0.580218],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8985818,"threshold_uncertainty_score":0.1446608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312342555195005,"score_gpt":0.2357645225942614,"score_spread":0.2126410970423113,"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."}}