{"id":"W6926407503","doi":"10.22008/fk2/wp1tr3/hh5gcu","title":"w50vg5.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":[0.0009524894,0.003281166,0.002021148,0.004763281,0.0008384471,0.003285457,0.003518356,0.003224145,0.1685225],"category_scores_gemma":[0.005938876,0.001115329,0.001708534,0.00870124,0.0005354969,0.001876431,0.002138027,0.001930819,0.2414748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120369,"about_ca_system_score_gemma":0.001882324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02410226,"about_ca_topic_score_gemma":0.03392098,"domain_scores_codex":[0.9989954,0.0001721141,0.0001181368,0.0003562248,0.0001868941,0.0001712846],"domain_scores_gemma":[0.9983926,0.0005443082,0.0001372409,0.0004512129,0.0003050434,0.0001695841],"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":[0.00004220503,0.00001320912,0.0003039545,0.0005802395,0.00002752915,0.00001129981,0.00001403279,0.0003084724,0.00006676593,0.0002982947,0.997053,0.001281091],"study_design_scores_gemma":[0.0003618152,0.00002233146,0.001932864,0.0002645057,0.0000486381,0.0000413376,0.00007119028,0.0006923448,0.0002908778,0.001622188,0.9946191,0.00003281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004048434,0.00003059601,0.00003997724,0.0000288388,0.00001083814,0.000003887951,0.998944,0.0005371565,0.0003641321],"genre_scores_gemma":[0.0002009008,0.00004084483,0.0001608499,0.00003009705,0.000004402869,0.00003108787,0.9990419,0.0001310536,0.0003589067],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8314775,"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."}}