{"id":"W6906245104","doi":"10.15468/dl.zzgqnd","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)","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":[0.0008883367,0.00196966,0.001487646,0.004550944,0.001025753,0.002429099,0.002792122,0.00204917,0.1391003],"category_scores_gemma":[0.005652635,0.0008927262,0.001247099,0.008848948,0.0004432573,0.002281219,0.002523911,0.001947479,0.2061377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600882,"about_ca_system_score_gemma":0.002291904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02597631,"about_ca_topic_score_gemma":0.04208785,"domain_scores_codex":[0.99903,0.0001274442,0.0001245511,0.000336955,0.0002218001,0.0001592874],"domain_scores_gemma":[0.9977211,0.0006217227,0.0002013623,0.00061767,0.000576042,0.0002620435],"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":[0.00002927811,0.00001217889,0.0004133416,0.0004673166,0.00001411272,0.00001619483,0.00002481987,0.0001264249,0.0001136448,0.0003454336,0.9969765,0.001460727],"study_design_scores_gemma":[0.0000763899,0.000009566644,0.002207525,0.0001873488,0.00001489972,0.00004601541,0.00008984379,0.0001969292,0.0002095781,0.0007655242,0.9961774,0.00001881429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005588954,0.00003005062,0.00005111539,0.00004233043,0.0000137697,0.000005724955,0.9986173,0.0005139913,0.0006698687],"genre_scores_gemma":[0.0001697291,0.00003126833,0.0002035114,0.00004325226,0.000003307316,0.0000355391,0.9989343,0.0001472409,0.0004317285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8608997,"threshold_uncertainty_score":0.4653367,"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."}}