{"id":"W6905880949","doi":"10.15468/dl.rxunhp","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); Alien; The Internet","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":[0.001009021,0.00189887,0.001588576,0.004956499,0.001032597,0.002656907,0.002701095,0.002092818,0.1721321],"category_scores_gemma":[0.006529076,0.0009320759,0.001253181,0.009605282,0.0004508385,0.00246085,0.002660832,0.002027253,0.2379207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539854,"about_ca_system_score_gemma":0.002317675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203728,"about_ca_topic_score_gemma":0.0321159,"domain_scores_codex":[0.9989259,0.0001482504,0.0001390197,0.0003834232,0.0002287918,0.0001747545],"domain_scores_gemma":[0.9972467,0.0008207179,0.000238144,0.0007255918,0.0006676747,0.0003012593],"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":[0.00002686399,0.00001122325,0.0003523795,0.0005100474,0.00001329012,0.00001384313,0.000022265,0.0001162407,0.0001037649,0.0003387258,0.9971194,0.001371862],"study_design_scores_gemma":[0.00007310736,0.000009337638,0.00190554,0.0002067504,0.00001447881,0.00003622851,0.00008139351,0.0001614402,0.000177148,0.0007593735,0.9965575,0.00001785208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004232648,0.00002621935,0.00004508077,0.0000404925,0.00001413315,0.000005761484,0.9988253,0.0003815688,0.000619156],"genre_scores_gemma":[0.0001572901,0.00003442171,0.0001985796,0.00004901642,0.000004066285,0.00004613784,0.998862,0.0001512582,0.0004972229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8278679,"threshold_uncertainty_score":0.5758393,"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."}}