{"id":"W6905980343","doi":"10.15468/dl.ry95zj","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Identification (biology); Sequence (biology)","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":[0.0009137404,0.00190745,0.001533216,0.004608548,0.0009399797,0.002369804,0.002746484,0.001980471,0.1491264],"category_scores_gemma":[0.005401392,0.0009003541,0.001134333,0.009174762,0.0004333941,0.002193243,0.00247145,0.001942066,0.2050484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578141,"about_ca_system_score_gemma":0.002225993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246842,"about_ca_topic_score_gemma":0.03531524,"domain_scores_codex":[0.9990807,0.0001173288,0.0001172649,0.0003182298,0.0002091714,0.0001572822],"domain_scores_gemma":[0.9978755,0.0005791032,0.0002004771,0.0005642177,0.0005257259,0.0002551824],"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":[0.00002919556,0.00001140123,0.0003846409,0.0004984458,0.00001471004,0.00001522913,0.00002554161,0.0001378054,0.00013489,0.0004064665,0.9968514,0.001490238],"study_design_scores_gemma":[0.00007158161,0.000007642378,0.001872228,0.0001735404,0.00001376518,0.00003830778,0.00007531278,0.0001692022,0.0002055356,0.0007621457,0.9965932,0.00001758605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004544602,0.00002532768,0.00005091655,0.00003509617,0.00001184544,0.000005335715,0.998763,0.0004311601,0.0006318958],"genre_scores_gemma":[0.0001699416,0.00003181084,0.0002132832,0.00004239243,0.000003063567,0.00003892341,0.9989142,0.0001647044,0.0004217261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8508736,"threshold_uncertainty_score":0.4988773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}