{"id":"W6926261245","doi":"10.22008/fk2/cs5lka/vayfhs","title":"w50vg1.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":[0.0009877551,0.003295807,0.002082672,0.004793959,0.0008430358,0.003324254,0.003515807,0.003222431,0.1896912],"category_scores_gemma":[0.006086071,0.001156205,0.001674359,0.008894062,0.0005321365,0.00182428,0.002235385,0.001925393,0.2649579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112939,"about_ca_system_score_gemma":0.001921256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02363854,"about_ca_topic_score_gemma":0.03324017,"domain_scores_codex":[0.9989985,0.0001706839,0.0001191795,0.0003525303,0.0001872661,0.000171957],"domain_scores_gemma":[0.9982558,0.0006137779,0.0001482417,0.0004747469,0.0003268743,0.000180554],"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":[0.00004204038,0.00001333043,0.0003031235,0.0005951117,0.00002656769,0.00001069841,0.00001462749,0.0002792704,0.00006884239,0.0002938175,0.9970753,0.00127728],"study_design_scores_gemma":[0.0003748712,0.00002192234,0.00195544,0.0002688841,0.00004814844,0.00003823515,0.00007063741,0.0006452388,0.0002838577,0.001540085,0.9947196,0.00003303001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003552573,0.00002561823,0.0000362308,0.00002704511,0.000009648033,0.000003708346,0.9990356,0.0004868285,0.0003398768],"genre_scores_gemma":[0.0001870467,0.00003906108,0.0001543314,0.00002931494,0.000004295849,0.00003297448,0.9990422,0.0001381597,0.0003725293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8103088,"threshold_uncertainty_score":0,"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."}}