{"id":"W6887227424","doi":"10.15468/dl.qxqvd7","title":"Occurrence Download","year":2023,"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); Real world data","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":[0.0009530299,0.001910162,0.001508356,0.004867831,0.0009436521,0.002411511,0.002751273,0.00192965,0.1482922],"category_scores_gemma":[0.005389793,0.0009138685,0.001143189,0.009775809,0.0004498891,0.002108718,0.002453947,0.001966581,0.2068786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159409,"about_ca_system_score_gemma":0.002284012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02367146,"about_ca_topic_score_gemma":0.03900015,"domain_scores_codex":[0.9990569,0.0001210705,0.0001156197,0.0003276674,0.0002188129,0.0001599893],"domain_scores_gemma":[0.9978115,0.0005976605,0.0002115631,0.0005829873,0.0005392754,0.0002569979],"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":[0.00002699986,0.00001107564,0.0003894534,0.0004700629,0.00001447607,0.00001396914,0.00002499967,0.0001333534,0.0001196627,0.0004016921,0.9969695,0.001424766],"study_design_scores_gemma":[0.00006775215,0.00000722633,0.001857215,0.0001629223,0.00001319222,0.00003425264,0.0000726174,0.0001533426,0.000190392,0.0007310403,0.9966933,0.00001674819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004340176,0.00002374386,0.00004540404,0.00003246317,0.00001099321,0.000004855746,0.998843,0.0003877095,0.0006084749],"genre_scores_gemma":[0.0001685496,0.00002953006,0.0002045594,0.00003915576,0.000003118363,0.00003924694,0.998911,0.0001615143,0.0004432352],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8517078,"threshold_uncertainty_score":0.4960869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}