{"id":"W6905866379","doi":"10.15468/dl.ted7xv","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001131243,0.002017232,0.001712218,0.005642235,0.001032019,0.002678048,0.002924131,0.001943583,0.2126674],"category_scores_gemma":[0.006576977,0.001024117,0.0012222,0.01024006,0.0004765497,0.00239437,0.002997035,0.001950903,0.2622518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001864,"about_ca_system_score_gemma":0.002781426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02689388,"about_ca_topic_score_gemma":0.04204207,"domain_scores_codex":[0.9989867,0.0001198019,0.0001341601,0.0003293247,0.0002334113,0.0001965393],"domain_scores_gemma":[0.9974363,0.0006757134,0.0002398288,0.0006493555,0.000686321,0.0003124609],"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":[0.00002920516,0.000008074357,0.0002859559,0.0005740826,0.00001364913,0.0000144319,0.00002225796,0.00008438979,0.0001140089,0.0003733094,0.9971667,0.001313918],"study_design_scores_gemma":[0.00007150313,0.000006432766,0.001596933,0.0002248467,0.00001387784,0.00003400906,0.00005675713,0.00009703377,0.000187408,0.0007399343,0.9969543,0.00001687716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002261789,0.0000177956,0.0000344432,0.00002477302,0.000008552023,0.000005047012,0.9989452,0.0003487618,0.0005928634],"genre_scores_gemma":[0.000127812,0.00003271797,0.0001888882,0.0000465087,0.000003085411,0.00004564765,0.9989191,0.0001983908,0.0004378457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7873327,"threshold_uncertainty_score":0.7114432,"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."}}