{"id":"W7108475436","doi":"10.15468/dl.apg7pq","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; 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":[],"consensus_categories":[],"category_scores_codex":[0.0009061689,0.001763818,0.001526784,0.00506295,0.001065134,0.00288706,0.002739044,0.001820035,0.1861936],"category_scores_gemma":[0.006307379,0.000904271,0.001271504,0.009300114,0.0004214628,0.00247124,0.002690039,0.001845962,0.2598468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500924,"about_ca_system_score_gemma":0.002455755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02179054,"about_ca_topic_score_gemma":0.03497797,"domain_scores_codex":[0.9989558,0.0001239068,0.0001347445,0.0003751595,0.0002260175,0.0001841905],"domain_scores_gemma":[0.9975291,0.0006500783,0.0002187882,0.0006736744,0.000664893,0.0002635528],"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":[0.00002991042,0.00000936888,0.0004830828,0.0005399932,0.00001529837,0.00001764086,0.00002759635,0.0001203814,0.0001340653,0.0004075022,0.9962121,0.002003051],"study_design_scores_gemma":[0.00004942604,0.000006395621,0.001687521,0.0001631709,0.00001257279,0.00003490841,0.00007752801,0.0001430776,0.000177653,0.0007169643,0.9969151,0.00001561881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004737184,0.00002934357,0.00006421554,0.00004052774,0.00001609727,0.000005857331,0.9983122,0.0006283735,0.0008560308],"genre_scores_gemma":[0.0001976949,0.00003863248,0.000268736,0.00005205693,0.000004632095,0.00004394261,0.99854,0.0002285255,0.0006256885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1861936,"threshold_uncertainty_score":0.6228796,"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."}}