{"id":"W6905880109","doi":"10.15468/dl.v4wq77","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); Real world data; Key (lock)","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":[0.0009390358,0.001869347,0.001510721,0.004706518,0.000970257,0.002733837,0.002804576,0.001952827,0.1719429],"category_scores_gemma":[0.006563485,0.0009456601,0.001214675,0.009518038,0.0004247793,0.002462415,0.002520217,0.001987645,0.2209414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670481,"about_ca_system_score_gemma":0.002424199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02291738,"about_ca_topic_score_gemma":0.03513838,"domain_scores_codex":[0.9989779,0.0001296947,0.0001416569,0.0003650413,0.0002206886,0.0001650045],"domain_scores_gemma":[0.9975982,0.0007097123,0.0002230642,0.0006101819,0.0005928397,0.0002659493],"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":[0.00002850219,0.00001030817,0.0003628947,0.0005365367,0.00001421776,0.00001353722,0.00002211734,0.0001220678,0.00009092215,0.0003684659,0.9969367,0.00149362],"study_design_scores_gemma":[0.00007387416,0.000007638906,0.00173023,0.0002001875,0.00001430408,0.00003363232,0.00007275555,0.0001684536,0.000168372,0.0007844139,0.9967295,0.00001666306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003335525,0.00002274526,0.00004132362,0.0000353836,0.00001105707,0.000004993118,0.9988866,0.0003771704,0.0005873193],"genre_scores_gemma":[0.0001602579,0.00003539871,0.0002086353,0.00004508069,0.00000356412,0.00004263971,0.9988816,0.0001497319,0.0004731404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8280571,"threshold_uncertainty_score":0.5752065,"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."}}