{"id":"W6905753468","doi":"10.15468/dl.huqyaq","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); Range (aeronautics); Hirundo; Species name","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":[0.001016071,0.001898117,0.001617405,0.005374778,0.0009778459,0.002665567,0.0028449,0.002089453,0.1733085],"category_scores_gemma":[0.00613781,0.0009251406,0.001188568,0.01050855,0.0004253983,0.002457633,0.002585739,0.001955133,0.2252918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639601,"about_ca_system_score_gemma":0.002381079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01972613,"about_ca_topic_score_gemma":0.03262068,"domain_scores_codex":[0.9989115,0.0001447208,0.0001426841,0.0003759298,0.0002420878,0.0001831433],"domain_scores_gemma":[0.9975247,0.0006967235,0.0002465755,0.0006344308,0.0006089177,0.0002885497],"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":[0.0000287647,0.00001025901,0.0003672946,0.0005268133,0.00001532709,0.00001375867,0.000020985,0.0001272424,0.000109297,0.0004005889,0.9969457,0.001433844],"study_design_scores_gemma":[0.00006525871,0.000007224558,0.001624722,0.0001815855,0.00001416415,0.00003215053,0.00006208457,0.0001346499,0.0001761353,0.0007891393,0.9968966,0.00001629641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000354961,0.00002533905,0.0000409461,0.00003332366,0.00001115192,0.000004625396,0.9989177,0.0003111229,0.0006203029],"genre_scores_gemma":[0.0001492718,0.00003328059,0.0001876448,0.00004311222,0.000003359679,0.00003864882,0.9989185,0.000132235,0.0004938531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8266914,"threshold_uncertainty_score":0.5797749,"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."}}