{"id":"W7106845639","doi":"10.15468/dl.k4g7jb","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":"Download; Matching (statistics); Range (aeronautics); Polygon (computer graphics); Robustness (evolution)","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":[0.000904208,0.001841035,0.001633452,0.005123659,0.001096474,0.00281696,0.002768986,0.002057806,0.1937839],"category_scores_gemma":[0.006637911,0.0009035048,0.001230545,0.009779234,0.0003935037,0.002575918,0.002609816,0.00191278,0.2555986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729172,"about_ca_system_score_gemma":0.002529132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210167,"about_ca_topic_score_gemma":0.03481908,"domain_scores_codex":[0.998882,0.0001347035,0.0001477924,0.0003950925,0.0002503398,0.0001901046],"domain_scores_gemma":[0.9975078,0.0006819185,0.0002300565,0.0006416322,0.0006748846,0.000263705],"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":[0.00003253031,0.00001053521,0.000426328,0.0006011964,0.00001497057,0.00001634365,0.0000225399,0.0001178614,0.0001103067,0.0004178203,0.9963536,0.001875968],"study_design_scores_gemma":[0.00005890137,0.000007935329,0.001604964,0.0001955049,0.00001337247,0.00003636398,0.00007211146,0.0001529888,0.0001734109,0.0007300905,0.9969383,0.00001604505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004172401,0.00003222743,0.00005126261,0.00003971159,0.0000126141,0.000004873755,0.9986027,0.0004783903,0.0007364458],"genre_scores_gemma":[0.0001708442,0.00004110296,0.0002275093,0.00005025778,0.000003876447,0.00003834657,0.9987046,0.0001712196,0.0005921937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8062161,"threshold_uncertainty_score":0.6482719,"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."}}