{"id":"W6962521267","doi":"10.15468/dl.uzhe5f","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); The Internet; Alien","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":[0.0009803707,0.002039887,0.001622413,0.005093506,0.001079227,0.002570701,0.002806588,0.002203474,0.1403265],"category_scores_gemma":[0.005822052,0.0008961812,0.001323863,0.00977255,0.000470108,0.002313044,0.002544944,0.002023666,0.2084846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609858,"about_ca_system_score_gemma":0.002392762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02282201,"about_ca_topic_score_gemma":0.03665359,"domain_scores_codex":[0.9988984,0.0001510279,0.0001402281,0.0003852931,0.0002434624,0.0001814978],"domain_scores_gemma":[0.9973928,0.0007562871,0.0002320974,0.0006993015,0.0006249787,0.0002946472],"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":[0.00003256001,0.00001406968,0.0004289702,0.0005752153,0.00001526804,0.00001683885,0.00002473568,0.0001272369,0.0001365364,0.000348056,0.9967909,0.001489491],"study_design_scores_gemma":[0.00007912105,0.00001115232,0.002322905,0.0002137995,0.00001651557,0.00004459248,0.0000889319,0.0001745105,0.000220504,0.0007197846,0.996089,0.00001933276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000542958,0.00003229618,0.00004230247,0.00004090141,0.0000141594,0.000006027874,0.99879,0.0004007374,0.000619342],"genre_scores_gemma":[0.0001657771,0.0000353212,0.0001799845,0.00004635243,0.000003671585,0.00004060942,0.9989591,0.0001241719,0.0004450248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8596735,"threshold_uncertainty_score":0.4694389,"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."}}