{"id":"W6961956021","doi":"10.15468/dl.kvwq9t","title":"Occurrence Download","year":2022,"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); Cryphonectria; UniProt","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":[0.0009708923,0.001947252,0.001550137,0.00488401,0.001012799,0.002513487,0.002754392,0.002196743,0.1520348],"category_scores_gemma":[0.006003874,0.0008665798,0.001258008,0.008844617,0.0004478033,0.00231615,0.002453187,0.001932028,0.21141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547596,"about_ca_system_score_gemma":0.002233511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02223947,"about_ca_topic_score_gemma":0.03516183,"domain_scores_codex":[0.9990181,0.0001385164,0.0001209827,0.0003469166,0.000211808,0.0001635817],"domain_scores_gemma":[0.9975663,0.0007326457,0.0002076146,0.0006243276,0.0006120095,0.0002571063],"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":[0.00002989421,0.00001277536,0.0004324637,0.0005531358,0.00001473472,0.00001754993,0.00002427456,0.0001315415,0.0001260718,0.0003442199,0.9968237,0.001489685],"study_design_scores_gemma":[0.00007777024,0.00001010914,0.002201252,0.0002190106,0.00001596263,0.00004290209,0.00008945522,0.0001935512,0.0002048672,0.0008091447,0.9961159,0.00002006716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005023386,0.00002985502,0.00004598342,0.00004238967,0.00001386176,0.000006369749,0.998755,0.0004157404,0.0006406415],"genre_scores_gemma":[0.0001864497,0.00003503723,0.0002109114,0.00005083711,0.000004049998,0.00004930206,0.9988465,0.0001423333,0.0004745255],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8479652,"threshold_uncertainty_score":0.5086071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}