{"id":"W6924726700","doi":"10.15468/dl.y2as4h","title":"Occurrence Download","year":2022,"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); Calidris","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":[0.0009300001,0.001970287,0.001549012,0.004842617,0.0009681617,0.002458369,0.002712745,0.002040459,0.1608956],"category_scores_gemma":[0.005631533,0.00085864,0.001178283,0.009020019,0.0004346469,0.002345211,0.002542495,0.001950413,0.2345465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532503,"about_ca_system_score_gemma":0.002222933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02142654,"about_ca_topic_score_gemma":0.03595132,"domain_scores_codex":[0.9990214,0.0001256578,0.0001164335,0.0003478648,0.0002213415,0.0001671446],"domain_scores_gemma":[0.997641,0.0006394958,0.0002196434,0.0006260119,0.0005919787,0.0002819171],"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":[0.00002841877,0.00001091502,0.0003701384,0.0004948637,0.00001332971,0.0000145177,0.00002201654,0.0001260732,0.0001130306,0.0003467738,0.9970236,0.001436386],"study_design_scores_gemma":[0.00007053514,0.00000892042,0.001869806,0.0001877324,0.00001331074,0.00003543667,0.00007575518,0.0001636036,0.000184676,0.0007652123,0.996608,0.00001701876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004276271,0.00002612083,0.00004365622,0.00003645107,0.00001259159,0.000005328102,0.9987771,0.0003997078,0.0006563449],"genre_scores_gemma":[0.0001557985,0.00002987714,0.0001905828,0.0000434358,0.000003518533,0.00003905207,0.9989002,0.0001467007,0.0004908564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391044,"threshold_uncertainty_score":0.5382495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}