{"id":"W6962569114","doi":"10.15468/dl.xn8hh9","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":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0009358868,0.002204698,0.001673528,0.005138919,0.0009873563,0.002620211,0.002844534,0.001956716,0.1626847],"category_scores_gemma":[0.005709344,0.0009878093,0.001241869,0.01014642,0.0004279532,0.002404868,0.002697783,0.001951063,0.2319143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504305,"about_ca_system_score_gemma":0.002312868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01929631,"about_ca_topic_score_gemma":0.03350573,"domain_scores_codex":[0.9988846,0.0001489884,0.0001463577,0.0003992525,0.0002377801,0.0001830479],"domain_scores_gemma":[0.9974992,0.0006663677,0.0002418931,0.0006698472,0.0006287326,0.0002940392],"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":[0.00003533872,0.00001193559,0.000356824,0.0005635117,0.00001542333,0.00001395659,0.00002053259,0.0001131658,0.000123901,0.0003645997,0.9969291,0.001451734],"study_design_scores_gemma":[0.0000768703,0.000009368739,0.001783638,0.0001761273,0.00001512665,0.00003599034,0.00005689209,0.0001364514,0.0001884123,0.0007956941,0.9967064,0.00001892489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003805565,0.00002577107,0.00003880956,0.00002868436,0.00001081394,0.000004808256,0.9988946,0.0003488529,0.0006096158],"genre_scores_gemma":[0.0001369012,0.00003294645,0.0001840104,0.00004551972,0.000003434536,0.000038414,0.9989517,0.0001386928,0.0004683675],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8373153,"threshold_uncertainty_score":0.5442346,"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."}}