{"id":"W7107969223","doi":"10.15468/dl.tcvq3z","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); Order (exchange)","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":[0.0009561749,0.001804375,0.001685694,0.005687697,0.001115994,0.002996419,0.002760959,0.002000596,0.1944625],"category_scores_gemma":[0.007016704,0.0009379234,0.001209384,0.01084513,0.0004160421,0.002622132,0.002706818,0.001897641,0.264529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720564,"about_ca_system_score_gemma":0.002628288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02207082,"about_ca_topic_score_gemma":0.0357471,"domain_scores_codex":[0.9988165,0.0001492442,0.0001617717,0.000413703,0.0002608122,0.0001979991],"domain_scores_gemma":[0.9972684,0.0007407715,0.0002541982,0.0006836319,0.0007579285,0.0002950882],"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":[0.00002907071,0.000009003744,0.0003983943,0.0006072977,0.00001446383,0.00001434797,0.00002245725,0.0001047778,0.00009476962,0.0003793561,0.9964856,0.001840515],"study_design_scores_gemma":[0.00005209301,0.000006637653,0.001528193,0.0002072193,0.00001281093,0.0000322939,0.00007168789,0.000119815,0.0001436894,0.0006619249,0.9971482,0.00001542894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003672012,0.00003362492,0.00004572003,0.00003792782,0.0000128492,0.000004779878,0.9987013,0.0004132287,0.000713812],"genre_scores_gemma":[0.0001659751,0.00004565187,0.0002185617,0.00005148902,0.000004262112,0.00004051681,0.998698,0.0001698847,0.0006056678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8055375,"threshold_uncertainty_score":0.6505418,"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."}}