{"id":"W6906222172","doi":"10.15468/dl.yymuyh","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); Alien; Range (aeronautics)","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":[0.0009829702,0.001977049,0.00157259,0.00480186,0.001056513,0.002599569,0.002751812,0.002133036,0.1780127],"category_scores_gemma":[0.006280872,0.0008946233,0.001256255,0.009110597,0.000459416,0.002515076,0.00268128,0.002046824,0.2563404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514724,"about_ca_system_score_gemma":0.002344873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02065099,"about_ca_topic_score_gemma":0.03439025,"domain_scores_codex":[0.9989411,0.0001532217,0.0001269856,0.0003811497,0.000225408,0.0001721043],"domain_scores_gemma":[0.9972653,0.0007803055,0.0002281359,0.0007405838,0.0006867356,0.0002988178],"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":[0.00002621118,0.00001103845,0.0003406995,0.0004663695,0.00001157572,0.00001317879,0.00002099021,0.0001062613,0.00009393273,0.0003104261,0.997251,0.001348239],"study_design_scores_gemma":[0.00006936766,0.000009004506,0.001679959,0.0001952886,0.0000125364,0.00003300295,0.00007568744,0.0001552997,0.0001712252,0.0007967344,0.9967847,0.00001725471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004325694,0.00002793195,0.00004515102,0.0000431839,0.00001464614,0.00000628329,0.9986681,0.0004457666,0.0007058482],"genre_scores_gemma":[0.0001584736,0.0000347566,0.0002120358,0.00005285176,0.000004295812,0.00004774946,0.998786,0.0001708183,0.0005329464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8219873,"threshold_uncertainty_score":0.5955119,"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."}}