{"id":"W6924921740","doi":"10.15468/dl.vt9km7","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0009707428,0.002073386,0.001616785,0.004890796,0.0009969533,0.002522234,0.002806808,0.002225327,0.1343648],"category_scores_gemma":[0.005289461,0.0008480322,0.001251419,0.008799859,0.0004734927,0.002248758,0.00244041,0.002103257,0.1935018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571037,"about_ca_system_score_gemma":0.002226354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01788317,"about_ca_topic_score_gemma":0.03168575,"domain_scores_codex":[0.999008,0.0001450568,0.0001280626,0.000349177,0.0002129352,0.0001568608],"domain_scores_gemma":[0.9978874,0.000602264,0.0001972183,0.0005615415,0.0004895251,0.0002620751],"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":[0.00003873517,0.00001458108,0.0004270423,0.0005993959,0.00001691232,0.0000194274,0.00002308036,0.0001570715,0.0001473675,0.0004057849,0.9966519,0.001498682],"study_design_scores_gemma":[0.00008731485,0.000009448423,0.001742946,0.0001885001,0.0000150319,0.00004572526,0.00006962298,0.0001835,0.0002073616,0.0008171074,0.9966158,0.00001758883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005210792,0.0000352158,0.00004714244,0.0000412495,0.00001323797,0.000006099547,0.9987739,0.0003865266,0.0006445407],"genre_scores_gemma":[0.0001689458,0.00003862602,0.000197171,0.00004955225,0.000003705275,0.00003925858,0.9989491,0.0001231518,0.0004305616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8656352,"threshold_uncertainty_score":0.449495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358343866178237,"score_gpt":0.2689055240188922,"score_spread":0.2453220853571099,"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."}}