{"id":"W6887149343","doi":"10.15468/dl.tgk959","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); 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":[0.001021098,0.001987802,0.001629317,0.005084734,0.0009810419,0.00259567,0.002822208,0.002123575,0.1570892],"category_scores_gemma":[0.005977088,0.0008831961,0.001221685,0.009995628,0.0004521083,0.002315492,0.002483062,0.002042271,0.2231881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644646,"about_ca_system_score_gemma":0.002382081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246931,"about_ca_topic_score_gemma":0.03597385,"domain_scores_codex":[0.9989285,0.0001493634,0.0001320693,0.0003717454,0.000237498,0.0001808808],"domain_scores_gemma":[0.9974221,0.0007455555,0.0002428056,0.0006690163,0.0006268172,0.0002936693],"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":[0.0000283329,0.00001134008,0.0003604351,0.0005103562,0.00001458597,0.0000132843,0.00002065075,0.0001237972,0.0001042212,0.0003501659,0.9971252,0.001337653],"study_design_scores_gemma":[0.00007559352,0.00000885571,0.001958251,0.0002030045,0.00001527775,0.00003551491,0.00007413664,0.0001537752,0.0001898789,0.0008255717,0.9964415,0.00001846867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003748426,0.00002566439,0.00003745507,0.00003380529,0.00001119011,0.000004656025,0.9989744,0.0003131176,0.0005620975],"genre_scores_gemma":[0.0001501785,0.00003249525,0.0001701344,0.00004296447,0.000003468318,0.00003885553,0.9989921,0.0001250024,0.0004446967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8429108,"threshold_uncertainty_score":0.5255157,"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."}}