{"id":"W6943591481","doi":"10.15468/dl.tkkevt","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); Data set; Set (abstract data type)","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":[0.001037098,0.002010127,0.001587137,0.004664199,0.001046881,0.002560723,0.002850827,0.002199628,0.167416],"category_scores_gemma":[0.006214715,0.0009435064,0.001246003,0.009204398,0.000458942,0.002372342,0.002694022,0.002061757,0.2267158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690568,"about_ca_system_score_gemma":0.002425469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.023366,"about_ca_topic_score_gemma":0.0376314,"domain_scores_codex":[0.9989943,0.0001311598,0.0001282328,0.0003449099,0.0002317376,0.0001695906],"domain_scores_gemma":[0.9975078,0.0007117219,0.0002185172,0.0006663055,0.0006090862,0.0002865523],"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":[0.00002961086,0.00001163501,0.0003463043,0.0004838368,0.00001389188,0.00001445748,0.00002330974,0.0001197493,0.0001091174,0.0003484534,0.9970651,0.00143449],"study_design_scores_gemma":[0.00008286062,0.000008769601,0.00184175,0.0002019218,0.00001438894,0.00003631946,0.00007538906,0.0001718637,0.0001880478,0.0007870471,0.9965738,0.00001783411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003998177,0.00002457621,0.00004499131,0.00003766657,0.00001225721,0.000005691403,0.9988255,0.000395177,0.0006141407],"genre_scores_gemma":[0.0001551049,0.00003159542,0.0002137683,0.00004663863,0.00000333499,0.0000447391,0.9988859,0.0001604495,0.0004585495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.832584,"threshold_uncertainty_score":0.5600623,"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."}}