{"id":"W6943515154","doi":"10.15468/dl.yv23qh","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.0009616136,0.001968247,0.001596143,0.004874277,0.0009722156,0.002577306,0.00284865,0.002022738,0.1654921],"category_scores_gemma":[0.005701996,0.0009576858,0.00117956,0.009518538,0.000443726,0.002312341,0.002427815,0.002077392,0.2145816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815795,"about_ca_system_score_gemma":0.002428488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02851612,"about_ca_topic_score_gemma":0.04505813,"domain_scores_codex":[0.9989688,0.0001372729,0.0001338965,0.0003492377,0.000241294,0.0001695182],"domain_scores_gemma":[0.9976419,0.0006760042,0.0002223584,0.0005880406,0.000584028,0.0002876294],"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":[0.00002609332,0.00001009694,0.000321982,0.0004409589,0.00001319686,0.00001388683,0.00002131973,0.0001175382,0.00008867394,0.0003830878,0.9973875,0.001175795],"study_design_scores_gemma":[0.00008191641,0.000006926593,0.001836828,0.0001661517,0.00001331751,0.00003454051,0.00006383636,0.0001746785,0.0001677496,0.0007401621,0.9966979,0.00001615567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003730973,0.00002218979,0.00004430158,0.00003417857,0.00001017644,0.000004882103,0.998847,0.0003732576,0.000626662],"genre_scores_gemma":[0.0001505025,0.00002940991,0.0001757244,0.00004226555,0.000003127612,0.00003705496,0.9989427,0.0001544511,0.0004647503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8345079,"threshold_uncertainty_score":0.5536262,"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."}}