{"id":"W6905834551","doi":"10.15468/dl.v567u2","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); Alien; Range (aeronautics); The Internet","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":[0.0009693437,0.001952768,0.001613286,0.005014301,0.001017167,0.002612277,0.002693638,0.002125364,0.1614101],"category_scores_gemma":[0.005857747,0.0009004728,0.001291317,0.009700205,0.0004614686,0.002311923,0.00261152,0.001967006,0.2406919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572887,"about_ca_system_score_gemma":0.002310798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02196824,"about_ca_topic_score_gemma":0.03455603,"domain_scores_codex":[0.9989341,0.0001461741,0.0001339294,0.0003786077,0.0002274785,0.0001797419],"domain_scores_gemma":[0.9974044,0.0007541478,0.0002291514,0.0006703223,0.0006455334,0.0002965009],"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":[0.00002904381,0.0000124641,0.000401502,0.0005529251,0.00001408405,0.00001540382,0.00002418568,0.0001180506,0.0001203272,0.0003300859,0.996962,0.001419924],"study_design_scores_gemma":[0.00007155539,0.000009823729,0.002175996,0.0002132848,0.00001557339,0.00003834097,0.00008640271,0.0001551852,0.0001941474,0.0007131536,0.9963081,0.00001862073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004545439,0.00002723602,0.00003854877,0.00003864354,0.00001298972,0.000005482425,0.9988545,0.0003543001,0.0006228089],"genre_scores_gemma":[0.0001578025,0.0000340001,0.0001749035,0.00004675781,0.000003760503,0.00004136011,0.99893,0.0001346504,0.0004766596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8385899,"threshold_uncertainty_score":0.5399706,"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."}}