{"id":"W6926523257","doi":"10.22008/fk2/cs5lka/y59byu","title":"w50acbw13.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":[0.0009626632,0.002943018,0.001901297,0.004883602,0.0008277959,0.003197467,0.003434887,0.003052571,0.1597931],"category_scores_gemma":[0.006378304,0.001055765,0.001502684,0.009841499,0.0005257044,0.001618308,0.001967275,0.001801962,0.2333403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187486,"about_ca_system_score_gemma":0.002143199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02749481,"about_ca_topic_score_gemma":0.03745268,"domain_scores_codex":[0.9989406,0.0001823726,0.0001272787,0.0003633952,0.0002030428,0.0001832284],"domain_scores_gemma":[0.9980382,0.0006428378,0.0001784116,0.0005229006,0.0004126504,0.0002049301],"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":[0.00004902058,0.00001303049,0.0003699019,0.0005788525,0.00002629852,0.00001120325,0.00001388336,0.0002868042,0.00007627007,0.0002913663,0.9971011,0.001182267],"study_design_scores_gemma":[0.0003496074,0.00001928655,0.00231891,0.0002388159,0.0000432048,0.00003609128,0.00007210657,0.0005553677,0.0002977318,0.001322967,0.994715,0.00003088871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004034489,0.00002447419,0.00003033577,0.00002214116,0.000008221487,0.000003308131,0.999265,0.0003217601,0.0002843577],"genre_scores_gemma":[0.0001976542,0.0000352417,0.0001344691,0.00002415126,0.000003689861,0.00003183009,0.9991252,0.00009924546,0.0003485417],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8402069,"threshold_uncertainty_score":0.5345612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03353509363697117,"score_gpt":0.2649021301035806,"score_spread":0.2313670364666094,"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."}}