{"id":"W6943348054","doi":"10.15468/dl.q3vx3a","title":"Occurrence Download","year":2024,"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 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":[0.001115572,0.002132288,0.001719818,0.004793131,0.001101567,0.002742354,0.003131949,0.002240049,0.1789279],"category_scores_gemma":[0.006965402,0.001063164,0.001322325,0.008852174,0.000483509,0.002519066,0.002901457,0.002236136,0.2442024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724557,"about_ca_system_score_gemma":0.002617005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02338007,"about_ca_topic_score_gemma":0.0372865,"domain_scores_codex":[0.9989198,0.0001392307,0.0001323333,0.0003808923,0.0002506974,0.00017708],"domain_scores_gemma":[0.9973924,0.0007425252,0.0002234463,0.000715511,0.000630696,0.0002954747],"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":[0.00002710782,0.00001038707,0.0003228913,0.0004852331,0.00001420118,0.00001331748,0.00002412745,0.0001133806,0.0001061744,0.0003618025,0.9971867,0.001334609],"study_design_scores_gemma":[0.00007596741,0.000007466239,0.001473622,0.0001841724,0.00001455775,0.00003478701,0.0000682412,0.0001544014,0.000196224,0.0008389886,0.9969335,0.00001805088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003696575,0.00002505396,0.00005370868,0.00003931285,0.00001301188,0.000005676044,0.9986591,0.0005236255,0.000643427],"genre_scores_gemma":[0.0001506333,0.00003192439,0.0002376947,0.00004873797,0.000003374543,0.00004794777,0.9987526,0.0002247041,0.0005023894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8210721,"threshold_uncertainty_score":0.5985734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}