{"id":"W6924710466","doi":"10.15468/dl.sbthkx","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); Column (typography); 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":[0.0009696886,0.00199931,0.001606355,0.004749381,0.001000321,0.002446416,0.002865688,0.002098472,0.1551577],"category_scores_gemma":[0.005568269,0.0009121121,0.001221769,0.009565935,0.0004659471,0.002208095,0.002614112,0.002030173,0.2182537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165351,"about_ca_system_score_gemma":0.0023876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02350343,"about_ca_topic_score_gemma":0.03788356,"domain_scores_codex":[0.9990267,0.0001281753,0.0001249082,0.0003348243,0.0002185321,0.000166864],"domain_scores_gemma":[0.9977817,0.0006240567,0.0002079889,0.0005789511,0.0005513213,0.0002559534],"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":[0.00003065039,0.00001198972,0.0004049816,0.0005701389,0.00001600024,0.00001657884,0.00002860483,0.0001397169,0.0001437466,0.0004123118,0.9966888,0.001536502],"study_design_scores_gemma":[0.00006879609,0.000007619351,0.001786447,0.0001928904,0.00001428281,0.00003667697,0.00007796905,0.0001508968,0.0002018384,0.0007245741,0.9967203,0.00001772132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004371896,0.00002684441,0.00004799428,0.00003391148,0.00001211248,0.000005353487,0.9987722,0.0004090111,0.0006489079],"genre_scores_gemma":[0.000161569,0.0000316355,0.0002072994,0.00004166312,0.000002978527,0.00004081051,0.99893,0.0001572555,0.00042673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8448423,"threshold_uncertainty_score":0.5190542,"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."}}