{"id":"W6905655513","doi":"10.15468/dl.m3pbnk","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.001002457,0.002307683,0.001707845,0.00447952,0.001003765,0.002689031,0.00313463,0.002031364,0.1442101],"category_scores_gemma":[0.006335201,0.0009608365,0.001269883,0.0087719,0.0004594114,0.002393291,0.002620931,0.002033189,0.1996427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001771559,"about_ca_system_score_gemma":0.002573069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02352157,"about_ca_topic_score_gemma":0.03853898,"domain_scores_codex":[0.9989702,0.0001419698,0.0001397352,0.0003674225,0.0002255518,0.0001551902],"domain_scores_gemma":[0.9978027,0.0006430456,0.0002046518,0.0005575059,0.0005336445,0.000258425],"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":[0.0000411433,0.00001316432,0.0004046991,0.0006383926,0.00001810591,0.00001794855,0.00002515785,0.0001622595,0.0001296054,0.00047351,0.9964228,0.001653132],"study_design_scores_gemma":[0.00008799244,0.000009438271,0.001452591,0.0001891565,0.00001593092,0.00004170918,0.00006374501,0.0002215641,0.0002162787,0.0009971497,0.996685,0.00001942725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004743353,0.00003343182,0.00006141528,0.00003784509,0.00001123751,0.000006011599,0.9984633,0.000651986,0.0006874091],"genre_scores_gemma":[0.0001666694,0.00004062499,0.0002605898,0.00004909603,0.00000283382,0.00003729132,0.9987875,0.0002154502,0.0004400376],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8557899,"threshold_uncertainty_score":0.4824308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"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."}}