{"id":"W6962352574","doi":"10.15468/dl.xq4wfe","title":"Occurrence Download","year":2024,"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); Barcode; Range (aeronautics); Songbird","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":[0.001030356,0.002119822,0.001763135,0.005345172,0.001095961,0.002873436,0.002992803,0.002178752,0.1814435],"category_scores_gemma":[0.006362467,0.0009754137,0.001408458,0.009961001,0.0004310197,0.002585894,0.002927567,0.002016154,0.264093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712052,"about_ca_system_score_gemma":0.002390349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070163,"about_ca_topic_score_gemma":0.03344239,"domain_scores_codex":[0.9988967,0.0001395342,0.0001427244,0.0003916619,0.0002432239,0.0001859512],"domain_scores_gemma":[0.9975109,0.0006806394,0.0002201345,0.0006421447,0.0006657728,0.0002803974],"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":[0.00003619972,0.00001189096,0.0004325859,0.0005695086,0.00001616704,0.00001515354,0.00002128285,0.0001329843,0.0001146087,0.0003303186,0.9964287,0.001890668],"study_design_scores_gemma":[0.00008494121,0.00001095585,0.001810653,0.0002038011,0.00001438243,0.00003692894,0.00007563666,0.0002016295,0.0001824053,0.0007917992,0.9965682,0.00001867802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003884409,0.00002555531,0.00004693165,0.00003533713,0.00001336445,0.000005785294,0.9987931,0.0004787921,0.0005622394],"genre_scores_gemma":[0.0001362023,0.00003169499,0.0002174478,0.000044651,0.00000395479,0.00004302214,0.9988907,0.0001651412,0.0004673023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8185565,"threshold_uncertainty_score":0.606989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}