{"id":"W6906062988","doi":"10.15468/dl.qaffm2","title":"Occurrence Download","year":2024,"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); The Internet","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":[0.001067638,0.002033633,0.001621187,0.006167434,0.00102486,0.002642083,0.002844417,0.001871852,0.213992],"category_scores_gemma":[0.006491639,0.0009753751,0.001178487,0.01126871,0.0004462065,0.002602524,0.003086049,0.001960703,0.2955441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626669,"about_ca_system_score_gemma":0.002662799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02465797,"about_ca_topic_score_gemma":0.04366531,"domain_scores_codex":[0.9988143,0.000149836,0.0001443941,0.0004005697,0.0002886542,0.0002022549],"domain_scores_gemma":[0.9971067,0.0007239332,0.0002626342,0.0007375057,0.0008034476,0.0003657874],"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":[0.00002398975,0.000007541737,0.0002533928,0.0004257759,0.0000110567,0.00001070901,0.00001918581,0.0000719712,0.0000921383,0.0003074562,0.997483,0.001293849],"study_design_scores_gemma":[0.00005001992,0.000005822808,0.001391133,0.0001509431,0.00001104845,0.0000264233,0.00005522162,0.0000811435,0.0001565783,0.000632958,0.9974239,0.00001495496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002998562,0.0000220553,0.00004270067,0.0000300185,0.00001050472,0.000005127832,0.9986854,0.0004037819,0.0007703682],"genre_scores_gemma":[0.0001334871,0.00003235,0.0001984617,0.00004492766,0.000003648466,0.00004142895,0.9987242,0.0002098876,0.0006115747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7860081,"threshold_uncertainty_score":0.7158744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}