{"id":"W6943585439","doi":"10.15468/dl.xtu9du","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); Field (mathematics); Software","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":[0.0009418031,0.002005452,0.001619122,0.004965491,0.001038139,0.002524201,0.002825278,0.002116088,0.1508136],"category_scores_gemma":[0.006198833,0.0009152701,0.001236437,0.01001774,0.0004493529,0.002285428,0.002648226,0.001955537,0.2085612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639111,"about_ca_system_score_gemma":0.002432694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373131,"about_ca_topic_score_gemma":0.03702865,"domain_scores_codex":[0.9989754,0.0001338968,0.0001303807,0.000356086,0.0002328134,0.0001714036],"domain_scores_gemma":[0.9976802,0.000676278,0.0002121484,0.0006104336,0.0005528822,0.0002679547],"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":[0.00003056754,0.00001131606,0.0003691709,0.0005678886,0.0000153955,0.00001614604,0.00002667397,0.0001321345,0.0001251486,0.0003774463,0.9968207,0.001507394],"study_design_scores_gemma":[0.00007673714,0.000008868495,0.001852955,0.0002001463,0.00001569441,0.00004206332,0.00008308198,0.0001714069,0.0002001885,0.000762433,0.9965686,0.00001796005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004862936,0.00003310167,0.00004931326,0.00004178626,0.00001347051,0.000005617555,0.9987067,0.0004650533,0.0006363479],"genre_scores_gemma":[0.000168195,0.00003778021,0.0002072811,0.00004594513,0.00000340259,0.00004145069,0.9988995,0.0001569662,0.0004394962],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8491864,"threshold_uncertainty_score":0.5045216,"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."}}