{"id":"W7108470929","doi":"10.15468/dl.7kfksy","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Download; Matching (statistics); Range (aeronautics); Complement (music)","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":[0.0009150817,0.001783964,0.001484846,0.004824756,0.001021561,0.002777131,0.002628148,0.001917157,0.1763056],"category_scores_gemma":[0.006071977,0.0009345609,0.001159199,0.009286592,0.0004134432,0.002365116,0.002543401,0.001943159,0.2336514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513451,"about_ca_system_score_gemma":0.002232332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01776474,"about_ca_topic_score_gemma":0.02602001,"domain_scores_codex":[0.9990094,0.0001252508,0.0001365491,0.000353659,0.0002083922,0.0001666842],"domain_scores_gemma":[0.997719,0.0006525941,0.0002079895,0.000612966,0.0005586494,0.0002487962],"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":[0.00003221563,0.00001118466,0.0004276535,0.0005610926,0.00001511533,0.00001595833,0.00002701556,0.0001154062,0.0001212129,0.0004057694,0.9965145,0.001752934],"study_design_scores_gemma":[0.00006829094,0.000007565561,0.001831895,0.0001881196,0.00001371449,0.0000388446,0.00008272823,0.000154884,0.0001914396,0.0007586554,0.9966473,0.00001654845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004222077,0.00002399233,0.00004792675,0.00003496328,0.00001213853,0.000005291751,0.9987489,0.0004446919,0.0006397465],"genre_scores_gemma":[0.0001860443,0.00003455697,0.0002304216,0.00004630473,0.000003859396,0.00004282733,0.9987594,0.0001881933,0.0005083474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8236943,"threshold_uncertainty_score":0.5898011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}