{"id":"W6943389513","doi":"10.15468/dl.unqya2","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); Data set; Order (exchange)","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":[0.0009620141,0.001927218,0.001598857,0.005292071,0.0009456379,0.002430722,0.002724919,0.001978583,0.1446228],"category_scores_gemma":[0.00597295,0.0008695111,0.001166145,0.01023924,0.0004435674,0.002195967,0.002427566,0.001876516,0.1976277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595083,"about_ca_system_score_gemma":0.002402049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02349505,"about_ca_topic_score_gemma":0.03911657,"domain_scores_codex":[0.9989298,0.0001468621,0.0001467135,0.0003636304,0.0002372287,0.0001758239],"domain_scores_gemma":[0.9975126,0.0007126646,0.0002411144,0.0006299319,0.0006241431,0.0002794969],"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":[0.00003293603,0.00001233625,0.0004166881,0.0006594859,0.00001740993,0.0000178644,0.0000258217,0.0001423346,0.0001307305,0.0004147183,0.996615,0.001514743],"study_design_scores_gemma":[0.00007320138,0.000008804288,0.001990358,0.0002114297,0.00001591319,0.00003930216,0.00007137282,0.0001397564,0.0001900076,0.0007400688,0.9965011,0.0000186126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000043209,0.00002948582,0.00003861571,0.00003303616,0.00001057527,0.000005102256,0.9989473,0.0003158946,0.0005767574],"genre_scores_gemma":[0.0001594018,0.00003594298,0.0001676809,0.00004308923,0.000003217939,0.00003701299,0.9990135,0.0001152076,0.0004248812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8553772,"threshold_uncertainty_score":0.4838115,"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."}}