{"id":"W6905831456","doi":"10.15468/dl.p3acj3","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); 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":[0.0009548377,0.001881888,0.001536633,0.004850507,0.0009862699,0.002682109,0.002702741,0.002005586,0.1711064],"category_scores_gemma":[0.006341336,0.000888225,0.001219307,0.009055919,0.0004282181,0.002453237,0.002543455,0.001974205,0.2305703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529722,"about_ca_system_score_gemma":0.002180936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010322,"about_ca_topic_score_gemma":0.03227071,"domain_scores_codex":[0.9990233,0.0001355722,0.0001224419,0.0003480317,0.0002108148,0.0001598506],"domain_scores_gemma":[0.9975137,0.0007695344,0.0002132333,0.0006305496,0.0005979683,0.0002750189],"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":[0.00002626118,0.00001086638,0.0003820503,0.0005306145,0.00001361193,0.00001497285,0.00002329716,0.0001195429,0.0001011167,0.0003433458,0.9970129,0.001421578],"study_design_scores_gemma":[0.00006754654,0.000008669967,0.001888091,0.0002140086,0.00001455765,0.00003780781,0.0000825563,0.0001717873,0.0001793256,0.0007963472,0.9965214,0.00001784498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000417564,0.00002716902,0.00004554401,0.00004059512,0.00001308529,0.00000564252,0.9987957,0.0004012341,0.0006291384],"genre_scores_gemma":[0.0001742788,0.00003694921,0.0002077231,0.00005109769,0.000003990899,0.00004844092,0.9987971,0.0001654582,0.0005149868],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8288936,"threshold_uncertainty_score":0.572408,"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."}}