{"id":"W6926497927","doi":"10.22008/fk2/cs5lka/tlerpd","title":"wiz10_a4.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":[0.0008270891,0.002547616,0.001581091,0.004657346,0.0008003302,0.002842329,0.003211182,0.002640663,0.1348263],"category_scores_gemma":[0.005844567,0.001100557,0.001460818,0.009222855,0.0004842546,0.001320788,0.001997208,0.001610124,0.1594831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334079,"about_ca_system_score_gemma":0.002467504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03693934,"about_ca_topic_score_gemma":0.05205684,"domain_scores_codex":[0.9991261,0.0001314638,0.00009538,0.0002926555,0.0001832137,0.0001711401],"domain_scores_gemma":[0.9984186,0.0005377854,0.0001657852,0.0003608697,0.0003419264,0.0001749867],"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":[0.00006190142,0.00001780667,0.000778601,0.0006937273,0.00004015047,0.00001818242,0.00001942817,0.0003576314,0.0001025646,0.0003978704,0.9959786,0.001533456],"study_design_scores_gemma":[0.0003178572,0.00001974011,0.00391877,0.0002129723,0.0000473174,0.00004480203,0.00008333006,0.0004550902,0.0003370093,0.001008656,0.9935237,0.00003066986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005957123,0.00002500294,0.00002752265,0.00002147239,0.000007129983,0.00000320763,0.9993655,0.0002170397,0.0002735715],"genre_scores_gemma":[0.0002483492,0.00003437557,0.0001212566,0.00002163335,0.000003498339,0.00003691384,0.9990436,0.00006304368,0.0004272351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8651737,"threshold_uncertainty_score":0.451039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03315519358331862,"score_gpt":0.2642450586543527,"score_spread":0.2310898650710341,"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."}}