{"id":"W6943097951","doi":"10.15468/dl.ku7xdw","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); State (computer science); Confidentiality","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":[0.0009899121,0.002020231,0.001478907,0.004893157,0.001021219,0.002445351,0.002866036,0.002088454,0.1415849],"category_scores_gemma":[0.005580357,0.0008705516,0.001164267,0.009232537,0.000461215,0.002287835,0.002558397,0.002025602,0.202898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511534,"about_ca_system_score_gemma":0.002323082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02063053,"about_ca_topic_score_gemma":0.03708365,"domain_scores_codex":[0.9990106,0.0001384443,0.0001203255,0.0003531952,0.0002157292,0.0001617938],"domain_scores_gemma":[0.9977151,0.0006563367,0.0002113255,0.000606689,0.0005349768,0.0002754921],"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":[0.00002684365,0.00001215471,0.0003782071,0.0004686133,0.00001368134,0.00001555781,0.00002321422,0.0001326202,0.0001128339,0.0003610677,0.9971214,0.001333876],"study_design_scores_gemma":[0.00006912022,0.000008446713,0.001832148,0.0001692152,0.00001385498,0.00004055548,0.0000771503,0.0001763998,0.0001996371,0.0008063406,0.9965889,0.00001825174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005188462,0.00002816475,0.00005117082,0.00003855488,0.00001380525,0.000005665203,0.9987205,0.000423475,0.0006667149],"genre_scores_gemma":[0.0001709996,0.00002975701,0.0002001376,0.00004274802,0.000003604995,0.00004300284,0.9989265,0.0001405897,0.0004426121],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8584151,"threshold_uncertainty_score":0.4736485,"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."}}