{"id":"W6887051307","doi":"10.15468/dl.p4xdt8","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); Data file","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":[0.001026427,0.00190596,0.001663491,0.005197989,0.001007712,0.002838802,0.002846466,0.00204462,0.1777842],"category_scores_gemma":[0.006193683,0.0009332449,0.001138437,0.0100129,0.0004305797,0.002529571,0.002730322,0.002026642,0.252737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489646,"about_ca_system_score_gemma":0.002288951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01744878,"about_ca_topic_score_gemma":0.03048156,"domain_scores_codex":[0.9989114,0.0001433934,0.0001391936,0.0003825382,0.0002472956,0.000176149],"domain_scores_gemma":[0.9974568,0.00069925,0.0002408615,0.000684495,0.00062445,0.0002940049],"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":[0.00002505188,0.000009500362,0.0003257066,0.0004943493,0.00001396416,0.00001278795,0.00002123314,0.00009942464,0.0001083837,0.0003844567,0.9971266,0.001378445],"study_design_scores_gemma":[0.0000545965,0.000006494736,0.001525868,0.0001860209,0.00001369893,0.00003275026,0.00006077578,0.0001131634,0.000180061,0.0007703692,0.99704,0.00001620169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003472616,0.00002763785,0.00004623047,0.00003362598,0.00001155115,0.000004649757,0.9988205,0.0003450414,0.000676145],"genre_scores_gemma":[0.0001454948,0.00003603156,0.0001904458,0.00004516233,0.000003461915,0.00003945178,0.9988297,0.0001612124,0.0005491572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8222158,"threshold_uncertainty_score":0.5947474,"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."}}