{"id":"W6905818925","doi":"10.15468/dl.9b5c3e","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","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":[0.0008636827,0.002103343,0.001426003,0.004190436,0.0009419274,0.002330498,0.002768925,0.001855772,0.1325977],"category_scores_gemma":[0.005655684,0.0008604464,0.001280367,0.008591304,0.0004223792,0.00217256,0.002360823,0.001875481,0.1849198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624829,"about_ca_system_score_gemma":0.002391037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02627548,"about_ca_topic_score_gemma":0.04301857,"domain_scores_codex":[0.9989869,0.0001315598,0.0001342846,0.0003546238,0.0002342695,0.0001583156],"domain_scores_gemma":[0.9978047,0.0005955289,0.0002020137,0.0005663707,0.0005818142,0.0002496704],"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":[0.00003075787,0.00001178216,0.0003764909,0.0004430128,0.00001382831,0.00001445749,0.00002091343,0.0001377692,0.0001047905,0.0003807002,0.9970163,0.001449173],"study_design_scores_gemma":[0.00008268463,0.000009441867,0.001837726,0.0001561954,0.00001396152,0.00003977094,0.0000645772,0.0002236707,0.0002046021,0.0008518835,0.9964973,0.00001809075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005288205,0.00002843258,0.00005384997,0.00004021256,0.00001297571,0.000005815015,0.9985209,0.0005764634,0.0007085966],"genre_scores_gemma":[0.0001657047,0.00003330147,0.0002266618,0.00004702723,0.00000331481,0.00003672659,0.9988686,0.0001658278,0.0004526897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8674023,"threshold_uncertainty_score":0.4435834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583313752165829,"score_gpt":0.2207073729463884,"score_spread":0.2048742354247301,"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."}}