{"id":"W6926349123","doi":"10.22008/fk2/wp1tr3/3hhirk","title":"w50tf2.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001170474,0.0004109962,0.001305901,0.0001096012,0.00009548266,0.00002820959,0.0002211058,0.0008332366,0.003768615],"category_scores_gemma":[0.002135112,0.0002522337,0.0001832716,0.0003128936,0.000321663,0.00003010944,0.0003281234,0.0006758478,0.00008221321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001566999,"about_ca_system_score_gemma":0.0001080252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003422,"about_ca_topic_score_gemma":0.001518642,"domain_scores_codex":[0.9975259,0.0004398159,0.0005550464,0.0007338176,0.0003371388,0.0004083209],"domain_scores_gemma":[0.9979943,0.0005904101,0.0002476697,0.0005962062,0.0003265493,0.0002448774],"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":[0.0005142243,0.0002096883,0.02277083,0.0004483239,0.0001989773,0.0002175011,0.00000257529,9.068359e-8,0.0002338628,9.776317e-7,0.9694163,0.00598667],"study_design_scores_gemma":[0.0005967577,0.0003650997,0.3842854,0.0001968395,0.0002504805,0.0001702335,0.000003768775,0.000001417051,0.0002582679,0.00002410262,0.6135427,0.0003049455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08054733,0.007567863,0.000002163382,0.0007914228,0.0003213247,0.0003256915,0.9102895,0.0000144081,0.0001402951],"genre_scores_gemma":[0.0340304,0.00682294,0.0001670652,0.000709339,0.0003822532,0.000001577514,0.9563508,0.00001389971,0.00152175],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3615145,"threshold_uncertainty_score":0.999993,"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."}}