{"id":"W6887322199","doi":"10.15468/dl.zaee5k","title":"Occurrence Download","year":2020,"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); Ornithology; Data collection","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":[0.001035274,0.001920165,0.001492946,0.005618609,0.0008242441,0.002372579,0.002587662,0.001812521,0.1617505],"category_scores_gemma":[0.005834808,0.0008812005,0.001118642,0.01076403,0.0004455863,0.002221266,0.00266989,0.001736112,0.2197201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549697,"about_ca_system_score_gemma":0.002282771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02236484,"about_ca_topic_score_gemma":0.03533828,"domain_scores_codex":[0.9989294,0.0001440784,0.0001458176,0.0003567563,0.00023783,0.0001860598],"domain_scores_gemma":[0.9972591,0.0006824953,0.0002825584,0.0007451811,0.0006952329,0.0003353785],"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":[0.00003139097,0.00001003662,0.0003831665,0.0005462406,0.00001557781,0.00001410469,0.00002281267,0.0001215142,0.0001147643,0.0003557026,0.9968063,0.00157841],"study_design_scores_gemma":[0.00006440095,0.000008181261,0.002144384,0.0001787128,0.00001325064,0.00003302615,0.00006706827,0.0001274734,0.0001774112,0.000677393,0.9964918,0.00001671985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003431163,0.00002006148,0.00003079655,0.0000263806,0.000008449148,0.000004189798,0.99911,0.0002859348,0.0004797489],"genre_scores_gemma":[0.0001445226,0.00002833877,0.0001549024,0.00003715882,0.00000308639,0.00003404916,0.9990473,0.00012055,0.0004299622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382494,"threshold_uncertainty_score":0.5411094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}