{"id":"W6926219926","doi":"10.22008/fk2/cs5lka/o04too","title":"wshdgrya4.rtl","year":2022,"lang":"cs","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":[0.0009510348,0.003447582,0.001804972,0.005723277,0.0007541221,0.00296739,0.002948117,0.003153611,0.1314716],"category_scores_gemma":[0.00618222,0.001182863,0.002068516,0.008047982,0.0005842764,0.001183782,0.001916965,0.001673666,0.1814746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099836,"about_ca_system_score_gemma":0.002411611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02986116,"about_ca_topic_score_gemma":0.03779262,"domain_scores_codex":[0.9990042,0.0001603138,0.0001142157,0.0003360025,0.0002142506,0.0001710315],"domain_scores_gemma":[0.9979924,0.0006962356,0.0001938535,0.0005142795,0.0003436537,0.0002595539],"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":[0.00008247122,0.00002454124,0.0007389761,0.0007577,0.00004861748,0.00002085177,0.00002406129,0.0006374599,0.0001353585,0.0003072441,0.9953101,0.001912553],"study_design_scores_gemma":[0.0005545935,0.00003727752,0.004532823,0.0002700153,0.00008421033,0.00007085434,0.0001087581,0.001323437,0.0005197413,0.001577102,0.9908654,0.00005576164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008539939,0.00002978712,0.00004130633,0.00002426124,0.00001084842,0.000004584728,0.9990784,0.0004648281,0.0002605962],"genre_scores_gemma":[0.0002905151,0.00003710293,0.0001936529,0.00002542711,0.000004533346,0.00003921333,0.9989231,0.0001089514,0.0003774985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8685284,"threshold_uncertainty_score":0.4398164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356833641941936,"score_gpt":0.2649448266896365,"score_spread":0.2313764902702172,"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."}}