{"id":"W6905927283","doi":"10.15468/dl.qw5kuf","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); Alien; 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":[0.00106959,0.001969725,0.001622115,0.004989726,0.001015867,0.002589936,0.002892292,0.002151844,0.1545983],"category_scores_gemma":[0.006070256,0.0009067566,0.001252257,0.009699738,0.0004604788,0.002371041,0.002501924,0.002063547,0.2195462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635537,"about_ca_system_score_gemma":0.002385875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.022388,"about_ca_topic_score_gemma":0.03691913,"domain_scores_codex":[0.9989074,0.0001569155,0.0001374605,0.000379341,0.000239122,0.0001798162],"domain_scores_gemma":[0.9973522,0.0007709237,0.0002441944,0.0007000774,0.0006416585,0.0002908715],"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":[0.00002898218,0.00001189246,0.0003676458,0.0005174949,0.00001513612,0.00001406372,0.00002223385,0.0001248863,0.0001075067,0.0003634608,0.9970769,0.001349816],"study_design_scores_gemma":[0.00007446461,0.000008672891,0.001999231,0.0001973297,0.00001503972,0.00003699592,0.00007387454,0.0001507724,0.0001908247,0.0008376869,0.9963964,0.00001879583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004000214,0.00002582296,0.00004202191,0.00003554198,0.0000117432,0.00000512272,0.998897,0.000345663,0.0005971597],"genre_scores_gemma":[0.0001514091,0.00003151161,0.0001856969,0.00004398188,0.000003483847,0.0000415621,0.9989647,0.0001337637,0.0004439692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8454017,"threshold_uncertainty_score":0.5171828,"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."}}