{"id":"W6962129120","doi":"10.15468/dl.pzuac2","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; UniProt","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":[0.001011792,0.001864453,0.001586767,0.005227857,0.001061245,0.002573142,0.002766,0.002104417,0.1533984],"category_scores_gemma":[0.006164123,0.0008994644,0.001252073,0.01022564,0.0004547698,0.002378906,0.002601837,0.002038397,0.216461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642164,"about_ca_system_score_gemma":0.002479901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325235,"about_ca_topic_score_gemma":0.03809785,"domain_scores_codex":[0.9988951,0.0001528631,0.0001430155,0.0003804105,0.0002474501,0.0001812446],"domain_scores_gemma":[0.9972753,0.0007935816,0.0002463224,0.000704291,0.0006865584,0.000293962],"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":[0.00002991469,0.00001213251,0.0003971857,0.0005972195,0.00001476676,0.00001588839,0.00002630076,0.0001201844,0.0001272213,0.0003919845,0.9967924,0.001474776],"study_design_scores_gemma":[0.00006520264,0.00000851088,0.001939139,0.0002110087,0.00001400592,0.00003599133,0.00008282487,0.0001273984,0.0001782868,0.0006879912,0.9966322,0.00001754686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004377876,0.00002946,0.00004191338,0.00003865471,0.00001267985,0.000005596423,0.9988439,0.0003424985,0.0006414997],"genre_scores_gemma":[0.0001582339,0.00003757485,0.0001960799,0.00004803175,0.000003545537,0.00004399989,0.9988877,0.0001366626,0.0004881836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466015,"threshold_uncertainty_score":0.5131689,"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."}}