{"id":"W6962427915","doi":"10.15468/dl.mxzrm2","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","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":[0.0008564897,0.002017265,0.00145494,0.004709363,0.0009930071,0.002350974,0.002704634,0.001815773,0.1439287],"category_scores_gemma":[0.00577837,0.0008569979,0.001218366,0.009392085,0.0004341835,0.002145406,0.002448558,0.001758862,0.198518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154536,"about_ca_system_score_gemma":0.002405121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02594688,"about_ca_topic_score_gemma":0.043284,"domain_scores_codex":[0.998998,0.0001281807,0.0001323123,0.000350147,0.0002281721,0.0001632076],"domain_scores_gemma":[0.9977309,0.0006183756,0.0002164939,0.0005874731,0.0005894024,0.0002573534],"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":[0.00003172809,0.00001148217,0.0003974474,0.0004836978,0.00001396368,0.00001477228,0.0000232795,0.0001245684,0.0001136878,0.0003758314,0.996849,0.001560438],"study_design_scores_gemma":[0.00007375467,0.00001015964,0.001936421,0.0001753872,0.00001461992,0.00004135447,0.00007192833,0.0001761262,0.0002016907,0.0007979224,0.9964819,0.00001862322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005369184,0.00002988349,0.0000486618,0.0000354583,0.0000124328,0.000005426082,0.998603,0.0005089294,0.0007024073],"genre_scores_gemma":[0.0001626582,0.0000324939,0.0002097003,0.0000413204,0.000003122219,0.00003468392,0.9988889,0.0001569735,0.0004702502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8560713,"threshold_uncertainty_score":0.4814895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}