{"id":"W6924682033","doi":"10.15468/dl.j5v9u2","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":[0.0009463879,0.002262403,0.001655644,0.00451309,0.001015197,0.002588074,0.003107829,0.001980134,0.1412056],"category_scores_gemma":[0.00597997,0.0009451809,0.001229589,0.008994048,0.0004635144,0.002345893,0.002585808,0.00199299,0.1984748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722504,"about_ca_system_score_gemma":0.00255837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02424003,"about_ca_topic_score_gemma":0.04119955,"domain_scores_codex":[0.9990114,0.0001348019,0.0001318406,0.0003540242,0.0002159863,0.0001518302],"domain_scores_gemma":[0.997908,0.0005860541,0.0001972414,0.0005292047,0.0005237269,0.0002558001],"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":[0.00003875476,0.00001289592,0.0003906143,0.0005980681,0.00001679215,0.00001738426,0.00002493034,0.0001516091,0.0001232444,0.0004553697,0.9965883,0.001581972],"study_design_scores_gemma":[0.00008739589,0.000009258488,0.001482177,0.0001816414,0.00001521501,0.00004179897,0.00006600802,0.0002042672,0.0002040503,0.0009381062,0.9967513,0.00001868489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004942093,0.00003310218,0.00005711379,0.00003660148,0.00001109445,0.000005904211,0.9985209,0.0005942471,0.0006916267],"genre_scores_gemma":[0.0001605066,0.00003829364,0.0002451392,0.00004555651,0.000002723596,0.0000359175,0.9988413,0.0001923426,0.0004381516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8587943,"threshold_uncertainty_score":0.4723799,"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."}}