{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004368918,0.0009139979,0.002351328,0.0002701906,0.0004693739,0.00005573364,0.0007663452,0.001145547,0.1470559],"category_scores_gemma":[0.003915338,0.0006111743,0.000337802,0.0007417625,0.0008682127,0.00007512761,0.001293687,0.001794543,0.0002563154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006083666,"about_ca_system_score_gemma":0.0001933178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076497,"about_ca_topic_score_gemma":0.002383451,"domain_scores_codex":[0.9934593,0.001887382,0.001298489,0.001512783,0.0008375225,0.001004452],"domain_scores_gemma":[0.9952825,0.002042358,0.0007425333,0.001060273,0.0003543394,0.0005179461],"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":[0.002903901,0.0007621497,0.119554,0.0009434266,0.0006160367,0.0003675153,0.00002821108,0.000001613278,0.000353527,0.00001146368,0.8559672,0.01849092],"study_design_scores_gemma":[0.001276749,0.001587006,0.4457667,0.0001555469,0.000542882,0.000158177,0.00002735379,0.00000850916,0.0001119052,0.00005768978,0.5496464,0.0006610606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2456777,0.01921863,0.000004111596,0.001336643,0.001312485,0.001050851,0.7309796,0.00003045179,0.0003895494],"genre_scores_gemma":[0.2711748,0.02267372,0.0001120801,0.001276562,0.0008205565,0.00000751241,0.6986495,0.00004982922,0.005235435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3262127,"threshold_uncertainty_score":0.999634,"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."}}