{"id":"W6905607969","doi":"10.15468/dl.hmdcmq","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":[0.0009748566,0.002240557,0.001638772,0.004555863,0.001022913,0.002608394,0.003101675,0.001961385,0.1428985],"category_scores_gemma":[0.006138485,0.0009512564,0.001222503,0.009135072,0.0004665745,0.002367662,0.002604981,0.002009947,0.1993296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722097,"about_ca_system_score_gemma":0.002602031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02390598,"about_ca_topic_score_gemma":0.04053046,"domain_scores_codex":[0.9989908,0.0001388394,0.0001357478,0.0003584809,0.0002221807,0.0001538879],"domain_scores_gemma":[0.9978249,0.0006109326,0.0002049955,0.0005540344,0.0005394184,0.0002657414],"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":[0.00003830549,0.00001287309,0.0003864521,0.0005812301,0.00001642142,0.00001701844,0.00002500557,0.0001466113,0.0001237074,0.0004656986,0.9966134,0.001573211],"study_design_scores_gemma":[0.00008559797,0.000008998432,0.001451708,0.0001764871,0.00001475278,0.0000406215,0.00006594953,0.0001942758,0.0002057185,0.0009331689,0.9968042,0.00001839901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004947388,0.00003200265,0.00005927836,0.0000367767,0.00001113463,0.000006035429,0.9984893,0.0006026371,0.0007134845],"genre_scores_gemma":[0.0001602119,0.00003784982,0.0002501419,0.00004535611,0.000002736592,0.0000371348,0.9988167,0.0002015892,0.0004482421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8571016,"threshold_uncertainty_score":0.478043,"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."}}