{"id":"W6926591110","doi":"10.22008/fk2/orktcu/irklld","title":"terr.gxf","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001044292,0.004200321,0.002419026,0.006289383,0.001006912,0.003420145,0.003604387,0.003041452,0.2214512],"category_scores_gemma":[0.005827507,0.00127189,0.001929674,0.009161733,0.0006719394,0.001888255,0.002619057,0.001992654,0.3344291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333572,"about_ca_system_score_gemma":0.002435136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03525301,"about_ca_topic_score_gemma":0.04436285,"domain_scores_codex":[0.9989393,0.0001762756,0.00008701293,0.0003780632,0.0002199049,0.0001993833],"domain_scores_gemma":[0.9981228,0.000497155,0.0001604546,0.0005644638,0.0003678002,0.0002872709],"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":[0.00003562639,0.0000140795,0.0002614605,0.0003470441,0.00001974857,0.000009313707,0.0000167424,0.0003166594,0.00004509232,0.0002387297,0.9971823,0.001513323],"study_design_scores_gemma":[0.0003194491,0.0000224912,0.001616501,0.0002433694,0.00003486513,0.00003314156,0.00007820767,0.0007258062,0.0002045684,0.001775005,0.9949105,0.00003606372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004483625,0.00003822268,0.00003711289,0.00003002362,0.00001450554,0.000004491952,0.9986864,0.000681355,0.0004630091],"genre_scores_gemma":[0.0001986659,0.00005624392,0.0001913365,0.00003880628,0.000007050447,0.00003952513,0.9985502,0.0002088462,0.0007093094],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7785488,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03317846700287099,"score_gpt":0.2674496677667138,"score_spread":0.2342712007638428,"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."}}