{"id":"W6962391099","doi":"10.15468/dl.uem8fq","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); R package; 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":[0.0009730857,0.002003964,0.0016254,0.005156707,0.0009713637,0.002542963,0.002790449,0.002132466,0.1532748],"category_scores_gemma":[0.005932081,0.0009123086,0.001167827,0.009758413,0.0004430584,0.002293855,0.002531574,0.001949732,0.2144309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511795,"about_ca_system_score_gemma":0.002237472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005485,"about_ca_topic_score_gemma":0.03308519,"domain_scores_codex":[0.9989404,0.0001402364,0.0001397834,0.0003649489,0.0002376995,0.0001768737],"domain_scores_gemma":[0.997555,0.0007058217,0.0002327006,0.0006353852,0.0005847315,0.0002864374],"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":[0.00003029175,0.0000119413,0.0003694944,0.0005638053,0.00001574889,0.00001612899,0.00002199777,0.0001219387,0.000131964,0.0003613325,0.9970111,0.001344201],"study_design_scores_gemma":[0.00008100081,0.000009443606,0.002059664,0.0002043888,0.0000166066,0.00004319833,0.00007081644,0.0001546922,0.0002124687,0.000728277,0.9964004,0.00001907079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004329272,0.00002889026,0.00004130693,0.00003337986,0.00001100053,0.000005215397,0.9988881,0.0003627203,0.0005861453],"genre_scores_gemma":[0.0001568602,0.00003255244,0.0001663998,0.00004187676,0.000003422433,0.00003830095,0.9990282,0.000127673,0.0004047464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8467252,"threshold_uncertainty_score":0.5127553,"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."}}