{"id":"W6926349612","doi":"10.22008/fk2/cs5lka/awmjpu","title":"w50vg6.rtl","year":2022,"lang":"bpy","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":[0.0009234573,0.003208413,0.002114374,0.004074458,0.0007824565,0.003157886,0.00326345,0.003048005,0.1619656],"category_scores_gemma":[0.005210705,0.001133694,0.001508747,0.007633966,0.000516944,0.00169744,0.002068781,0.001876801,0.2545539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009703125,"about_ca_system_score_gemma":0.001693451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082696,"about_ca_topic_score_gemma":0.02916984,"domain_scores_codex":[0.999083,0.0001587224,0.00009886813,0.0003312813,0.0001681627,0.000159948],"domain_scores_gemma":[0.9986382,0.0004423025,0.0001293377,0.0003795092,0.0002501542,0.0001606158],"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":[0.00004883109,0.00001478101,0.0003270316,0.0005582943,0.00002819087,0.00001114501,0.00001451719,0.0003205511,0.00007370454,0.0002722273,0.9968575,0.001473258],"study_design_scores_gemma":[0.0003998795,0.00002443005,0.002257168,0.0002540313,0.00004676948,0.00004071212,0.00006687292,0.0007481919,0.0003013878,0.001493344,0.9943343,0.00003290193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004308432,0.00003049177,0.00004289507,0.00002710844,0.00001087275,0.000003825337,0.9989941,0.0005081922,0.0003394964],"genre_scores_gemma":[0.000197942,0.00003971263,0.0001655781,0.00002645746,0.000004755947,0.00003210213,0.9990489,0.0001198952,0.0003647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8380344,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03477834359607256,"score_gpt":0.2654407693539186,"score_spread":0.2306624257578461,"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."}}