{"id":"W6924884518","doi":"10.15468/dl.z2xvpc","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009635873,0.002218324,0.001743528,0.004389566,0.001085015,0.002652473,0.003046689,0.002524461,0.1265802],"category_scores_gemma":[0.005120852,0.0008846654,0.001259017,0.008511754,0.0004837038,0.002333942,0.00249047,0.002291448,0.1985097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729599,"about_ca_system_score_gemma":0.002459538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955089,"about_ca_topic_score_gemma":0.03535589,"domain_scores_codex":[0.998958,0.0001544571,0.0001258217,0.0003726661,0.000229872,0.0001591684],"domain_scores_gemma":[0.9979475,0.0005478863,0.0001986219,0.0005434907,0.0004994593,0.0002629913],"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":[0.00004580173,0.00001781864,0.000409306,0.000680252,0.0000172486,0.0000191009,0.00002202244,0.0001589663,0.0001594248,0.0004071463,0.996555,0.001507967],"study_design_scores_gemma":[0.00009513239,0.00001068929,0.001549959,0.0001949722,0.00001414189,0.00003773111,0.00005940405,0.0001685281,0.0002194466,0.0007487133,0.996884,0.00001720444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004624387,0.0000386427,0.00003909597,0.00004001135,0.00001189811,0.000005971413,0.9988441,0.0003482499,0.0006258354],"genre_scores_gemma":[0.0001453402,0.00004130453,0.0001785211,0.00004699417,0.000003179498,0.00003643194,0.9990444,0.00009882848,0.0004050015],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8734198,"threshold_uncertainty_score":0.4234531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490908685142997,"score_gpt":0.2221446994269819,"score_spread":0.207235612575552,"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."}}