{"id":"W6926105094","doi":"10.22008/fk2/cs5lka/tkyqzh","title":"c50an1.rtl","year":2022,"lang":"fr","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001213636,0.003800257,0.002176165,0.006956472,0.001037451,0.003754969,0.003317669,0.003793275,0.2950588],"category_scores_gemma":[0.008790403,0.001252728,0.001933775,0.01082612,0.0006683121,0.001464819,0.002100671,0.001849942,0.3433704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545023,"about_ca_system_score_gemma":0.00331975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04639954,"about_ca_topic_score_gemma":0.0564062,"domain_scores_codex":[0.9987341,0.0002068499,0.0001263007,0.0004228794,0.0002667192,0.0002432186],"domain_scores_gemma":[0.9966822,0.001200669,0.0002992726,0.0008046342,0.0006068342,0.0004063809],"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":[0.00004568493,0.00001403752,0.0003349732,0.0005560911,0.00002441379,0.0000101115,0.00001589598,0.0003495249,0.00005831223,0.0002526586,0.9970385,0.00129989],"study_design_scores_gemma":[0.0004080161,0.00002240812,0.002173703,0.0002826466,0.00005077989,0.00003427865,0.00006681323,0.0006249674,0.0002213938,0.001269059,0.9948055,0.00004035751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002974604,0.00002193417,0.00002456569,0.00002034168,0.000007977936,0.000003671928,0.9992973,0.0002810467,0.0003134737],"genre_scores_gemma":[0.0001826364,0.00003707286,0.000156615,0.00003227905,0.000004959248,0.00004078917,0.9988876,0.0001560969,0.0005019927],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7049412,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03282381453635626,"score_gpt":0.2622967892008503,"score_spread":0.2294729746644941,"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."}}