{"id":"W6924577888","doi":"10.15468/dl.m8wq7h","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":"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":[0.0008782445,0.001871974,0.001425603,0.004620669,0.001001771,0.00242435,0.002693709,0.001952938,0.1425659],"category_scores_gemma":[0.005772434,0.0008558986,0.001188224,0.00894767,0.000441898,0.002215426,0.002507978,0.001900763,0.2047823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540968,"about_ca_system_score_gemma":0.002292404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02533232,"about_ca_topic_score_gemma":0.04173598,"domain_scores_codex":[0.9990535,0.0001218661,0.0001212364,0.0003258993,0.0002206723,0.0001567364],"domain_scores_gemma":[0.9977273,0.0006260338,0.0002028345,0.0006015309,0.0005747374,0.0002675751],"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":[0.00002763297,0.00001155542,0.000411153,0.0004447668,0.00001287977,0.0000159555,0.00002457115,0.0001185734,0.0001051955,0.0003459516,0.9970337,0.001448033],"study_design_scores_gemma":[0.0000731585,0.000008989047,0.002173107,0.0001924148,0.0000143473,0.00004583083,0.00009166074,0.0001928064,0.0002003428,0.0007925683,0.9961967,0.00001804938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005593974,0.0000295471,0.00005178991,0.00004305158,0.00001366015,0.00000580999,0.9985967,0.0004944569,0.0007091125],"genre_scores_gemma":[0.0001798653,0.00003197643,0.0002100737,0.00004461107,0.000003491577,0.00003713801,0.9988801,0.0001502818,0.0004625006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8574342,"threshold_uncertainty_score":0.4769304,"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."}}