{"id":"W6887195316","doi":"10.15468/dl.shdpbr","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); Arrow; 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":[0.0009904311,0.001925044,0.001553742,0.004820181,0.0009593456,0.00249978,0.002820128,0.001975529,0.1575323],"category_scores_gemma":[0.005699878,0.0009196238,0.001175617,0.009812564,0.0004389621,0.002215554,0.002466799,0.001981601,0.2171844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630206,"about_ca_system_score_gemma":0.002321061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0245721,"about_ca_topic_score_gemma":0.03891689,"domain_scores_codex":[0.9990067,0.0001317687,0.0001226413,0.0003463794,0.0002278757,0.0001647456],"domain_scores_gemma":[0.9976326,0.0006661125,0.0002250825,0.0006162622,0.0005846057,0.0002752059],"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":[0.0000266262,0.00001058349,0.0003633849,0.0004518758,0.00001375829,0.00001371224,0.00002285634,0.0001179468,0.0001097414,0.0003741244,0.997173,0.001322424],"study_design_scores_gemma":[0.0000677252,0.000007358287,0.001895329,0.0001687255,0.00001338888,0.00003415364,0.00007016818,0.0001514337,0.0001916767,0.0007498477,0.9966332,0.00001694742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004067966,0.00002313123,0.00004511407,0.00003447805,0.00001075537,0.000004921861,0.9988075,0.0003950521,0.0006383744],"genre_scores_gemma":[0.0001650269,0.00002925288,0.0001908652,0.00004191513,0.000003156351,0.00003935343,0.9989028,0.0001673508,0.0004602015],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8424677,"threshold_uncertainty_score":0.5269982,"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."}}