{"id":"W4396364172","doi":"10.15468/dl.j3kpwu","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.001037825,0.002285251,0.001848905,0.004641432,0.001092586,0.00271614,0.00333847,0.002360563,0.1472794],"category_scores_gemma":[0.005656166,0.001022073,0.001202624,0.008745165,0.0005032533,0.002444145,0.002906058,0.00240953,0.2244679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833616,"about_ca_system_score_gemma":0.00247044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02014247,"about_ca_topic_score_gemma":0.03481635,"domain_scores_codex":[0.9990172,0.0001247995,0.0001203965,0.0003482665,0.0002285338,0.0001607069],"domain_scores_gemma":[0.997933,0.0005498593,0.0001903347,0.0005559497,0.000500831,0.0002699377],"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":[0.00003802663,0.00001471044,0.000398502,0.0006103815,0.00001679752,0.00001967685,0.00002765352,0.0001578317,0.0001590238,0.0004836439,0.9965332,0.001540566],"study_design_scores_gemma":[0.00008906424,0.000007767391,0.001528703,0.0001806113,0.00001387642,0.00004072315,0.00007173287,0.000195195,0.0002254741,0.0009284323,0.9966993,0.00001909027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000458255,0.00002919843,0.00005964632,0.00003786776,0.00001164147,0.000006133676,0.99857,0.0005731185,0.0006666319],"genre_scores_gemma":[0.0001491507,0.00003344811,0.000248264,0.00004512272,0.000002818705,0.00004026079,0.9988649,0.0002042189,0.0004118198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8527206,"threshold_uncertainty_score":0.4926987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395259126477966,"score_gpt":0.2195626639075202,"score_spread":0.2056100726427406,"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."}}