{"id":"W6926141640","doi":"10.22008/fk2/wp1tr3/tl6xbe","title":"w50ac8.rtl","year":2021,"lang":"en","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":true,"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":[0.0009506299,0.003246255,0.002169876,0.004481687,0.0008864424,0.003150791,0.00384658,0.003288402,0.1641857],"category_scores_gemma":[0.00594085,0.001140284,0.00168583,0.008292959,0.0005548027,0.001922942,0.002074747,0.001950141,0.2434158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119571,"about_ca_system_score_gemma":0.002048146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02878433,"about_ca_topic_score_gemma":0.04013992,"domain_scores_codex":[0.9989763,0.0001887172,0.0001075843,0.0003460262,0.0001961953,0.0001853063],"domain_scores_gemma":[0.9982913,0.0005346946,0.000146554,0.0004825812,0.0003487254,0.0001961861],"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":[0.00005043513,0.00001402369,0.0003142798,0.0005155787,0.00002698355,0.00001132809,0.0000128308,0.0002760268,0.0000592345,0.0002879868,0.9972634,0.001167855],"study_design_scores_gemma":[0.0004287696,0.00002350639,0.001922891,0.0002818682,0.00004070913,0.00004053163,0.00006813336,0.0006679095,0.0002802045,0.001544209,0.9946682,0.00003287131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004237578,0.00003430197,0.00003357255,0.00002700086,0.00001172607,0.000003654434,0.9990783,0.0004142732,0.000354759],"genre_scores_gemma":[0.0002062491,0.0000383762,0.0001338531,0.0000285364,0.000004971259,0.0000325996,0.9990131,0.0001181091,0.0004242532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8358142,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03334628019393396,"score_gpt":0.2675631692037441,"score_spread":0.2342168890098101,"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."}}