{"id":"W6887279963","doi":"10.15468/dl.wkgvgp","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); Data set","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":[0.00100861,0.001860174,0.001558923,0.005299009,0.000999009,0.002642584,0.002702876,0.002007657,0.1706731],"category_scores_gemma":[0.006278372,0.0009163168,0.001119882,0.01011305,0.000453403,0.002618097,0.00264305,0.00199434,0.2312622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695781,"about_ca_system_score_gemma":0.002415889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210015,"about_ca_topic_score_gemma":0.03899702,"domain_scores_codex":[0.9988726,0.0001567059,0.000145281,0.0003953841,0.0002468967,0.0001832497],"domain_scores_gemma":[0.9973487,0.0007384266,0.0002483074,0.0007005261,0.0006610463,0.000303115],"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":[0.00002633227,0.000009777717,0.0003237049,0.0005260137,0.00001297419,0.00001282814,0.00002348751,0.0001094053,0.00009191708,0.0004085427,0.9971047,0.001350308],"study_design_scores_gemma":[0.00005939082,0.000006773475,0.001428531,0.0001814586,0.00001149781,0.00002876305,0.00006422817,0.0001178699,0.0001403357,0.0007628941,0.9971831,0.00001510192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003480689,0.00002705363,0.00004108464,0.00003620403,0.00001145012,0.000004884344,0.9988232,0.0003364531,0.0006847839],"genre_scores_gemma":[0.000149098,0.00003771406,0.0001935162,0.00004864995,0.000003579688,0.00003806765,0.9988304,0.000157551,0.0005414499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8293269,"threshold_uncertainty_score":0.5709584,"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."}}