{"id":"W7090205284","doi":"10.15468/dl.zhc45n","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008553104,0.001784581,0.001467285,0.004712964,0.000993839,0.00280812,0.002650753,0.00178289,0.1776734],"category_scores_gemma":[0.005982184,0.0008826008,0.001245644,0.009165209,0.0003884966,0.002355213,0.002462947,0.001759519,0.253852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577217,"about_ca_system_score_gemma":0.002467331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02475432,"about_ca_topic_score_gemma":0.0388733,"domain_scores_codex":[0.9989981,0.0001256644,0.000136932,0.0003501933,0.000217796,0.0001713037],"domain_scores_gemma":[0.9977824,0.0005763159,0.0001918674,0.0005860763,0.0006247432,0.000238661],"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":[0.00002732635,0.000008693754,0.0004076661,0.0004756764,0.00001351739,0.0000153761,0.00002381997,0.0001242288,0.000102424,0.0003808524,0.9965354,0.001884926],"study_design_scores_gemma":[0.00005336629,0.000005990907,0.001584723,0.0001552346,0.00001126203,0.00003139077,0.00006990637,0.0001621869,0.0001593905,0.0007191681,0.9970328,0.00001463703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004058579,0.00002738741,0.00005776176,0.00003770502,0.00001303937,0.000005673307,0.9984547,0.0005633435,0.0007997945],"genre_scores_gemma":[0.0001738376,0.00003753158,0.0002426064,0.00004740072,0.000003819677,0.00004041185,0.9986885,0.0001944751,0.0005714005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8223266,"threshold_uncertainty_score":0.5943767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007451645838425005,"score_gpt":0.1965030486220412,"score_spread":0.1890514027836162,"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."}}