{"id":"W6924575612","doi":"10.15468/dl.mxmens","title":"Occurrence Download","year":2023,"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); Set (abstract data type); Data set","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":[0.0009153909,0.002007671,0.00157728,0.004629861,0.001008886,0.002423654,0.002849705,0.002089482,0.1349114],"category_scores_gemma":[0.005054689,0.000887385,0.001226466,0.008921775,0.0004493279,0.002183702,0.002470069,0.001998215,0.2063342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653412,"about_ca_system_score_gemma":0.002225074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0229262,"about_ca_topic_score_gemma":0.03883584,"domain_scores_codex":[0.9990939,0.0001189333,0.0001139864,0.0003157533,0.0002036253,0.0001538319],"domain_scores_gemma":[0.9980167,0.0005266071,0.0001864999,0.0005453932,0.0004983135,0.0002264306],"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":[0.00003240277,0.00001282627,0.0004499287,0.0005899346,0.00001680216,0.00001888579,0.00003011992,0.000154325,0.0001531585,0.0004402449,0.9964116,0.001689668],"study_design_scores_gemma":[0.00006667397,0.000007921034,0.001847833,0.0001813056,0.00001378024,0.00004002237,0.00007759672,0.000164394,0.0001967458,0.0007298852,0.9966564,0.00001739139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004977861,0.00002988157,0.00005192571,0.00003564387,0.00001236054,0.000005674233,0.9987072,0.000451893,0.0006556399],"genre_scores_gemma":[0.000162043,0.00003153479,0.0002235591,0.00004044643,0.000002995654,0.00003981025,0.9989493,0.0001489394,0.0004014922],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8650886,"threshold_uncertainty_score":0.4513234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}