{"id":"W7103977836","doi":"10.15468/dl.dcyxg9","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorex; Matching (statistics); Puffinus; Microtus; 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":[0.001002751,0.002276829,0.00193137,0.005529391,0.001216868,0.003580638,0.003084418,0.002317157,0.2084913],"category_scores_gemma":[0.007312681,0.001042264,0.001734952,0.01073834,0.000403742,0.003466014,0.003317152,0.002192779,0.3275755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847112,"about_ca_system_score_gemma":0.00251287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02337535,"about_ca_topic_score_gemma":0.03649347,"domain_scores_codex":[0.9985862,0.0001621666,0.0001848761,0.0005219112,0.000302639,0.0002422798],"domain_scores_gemma":[0.9972277,0.0006628055,0.0002316495,0.0007851938,0.0007809177,0.0003116418],"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":[0.00003941345,0.00001143435,0.0004248404,0.0005708729,0.00001686545,0.00001736104,0.00002432241,0.0001143244,0.0001063424,0.0004058178,0.9959312,0.00233717],"study_design_scores_gemma":[0.00005652952,0.000009675849,0.001435757,0.0001840997,0.00001354814,0.00003747118,0.00007594113,0.0001800214,0.0001536503,0.0007757166,0.9970612,0.00001638863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004930624,0.0000472438,0.00006592483,0.00006172787,0.0000222955,0.000006403467,0.9978382,0.0009450693,0.0009638281],"genre_scores_gemma":[0.0001705441,0.00005854826,0.0002950168,0.00007955914,0.000005578273,0.00003891881,0.998316,0.0002847639,0.0007510372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7915087,"threshold_uncertainty_score":0.6974729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}