{"id":"W6906083542","doi":"10.15468/dl.swt4cr","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":"Matching (statistics); Download; 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":[0.0009569935,0.00197532,0.0015438,0.004695653,0.0009921092,0.002317521,0.002812937,0.002018549,0.1342401],"category_scores_gemma":[0.005471495,0.0009039208,0.001168349,0.00937746,0.0004545327,0.002154691,0.002484452,0.002014548,0.1940596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588593,"about_ca_system_score_gemma":0.002295227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02290396,"about_ca_topic_score_gemma":0.0382296,"domain_scores_codex":[0.9990429,0.0001281987,0.0001216649,0.0003232869,0.0002203203,0.0001635641],"domain_scores_gemma":[0.9978526,0.0005850272,0.0002025835,0.0005888702,0.0005172598,0.0002537542],"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":[0.00002974951,0.00001226268,0.000410479,0.0005063465,0.0000148864,0.00001617593,0.00002778945,0.000145083,0.0001412324,0.0004086204,0.9967153,0.001572042],"study_design_scores_gemma":[0.00007180614,0.00000793013,0.001981799,0.000183648,0.0000139517,0.00004017651,0.00008115329,0.0001678714,0.0002102833,0.0007162979,0.9965077,0.00001735023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005409317,0.00002871584,0.00005289601,0.00003586975,0.0000125272,0.000005569449,0.9987255,0.0004303661,0.0006545632],"genre_scores_gemma":[0.0001611945,0.00003004707,0.0002085254,0.00003815732,0.000002824857,0.00003921033,0.998983,0.0001430712,0.0003940542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8657598,"threshold_uncertainty_score":0.449078,"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."}}