{"id":"W6961746495","doi":"10.15468/dl.k6s5ys","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":[0.0009773825,0.002022974,0.001569906,0.004673857,0.001058555,0.002695835,0.002918967,0.002237018,0.1684709],"category_scores_gemma":[0.005934531,0.0009203443,0.001304819,0.008604338,0.0004390905,0.002539695,0.00267674,0.002117351,0.2376582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617193,"about_ca_system_score_gemma":0.002335656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021521,"about_ca_topic_score_gemma":0.03420459,"domain_scores_codex":[0.9989599,0.0001478661,0.0001273264,0.0003737492,0.0002227324,0.0001684913],"domain_scores_gemma":[0.9976405,0.0006989134,0.0002008454,0.0006307993,0.0005694755,0.00025947],"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":[0.00002818044,0.00001206634,0.0003363446,0.0005040549,0.0000132123,0.0000144566,0.0000209411,0.0001135784,0.0001038061,0.0003420622,0.9971036,0.001407643],"study_design_scores_gemma":[0.00007387741,0.000009238363,0.001745075,0.0001953099,0.00001394825,0.0000381367,0.00007464652,0.0001723753,0.0001899752,0.0008369101,0.9966317,0.00001886546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004193471,0.00002849943,0.00004866023,0.00004382239,0.000013842,0.000006453646,0.9986976,0.0004393743,0.0006797567],"genre_scores_gemma":[0.0001547716,0.00003424028,0.0002188889,0.00005283298,0.000003799576,0.0000502662,0.9988167,0.0001550561,0.0005134191],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8315291,"threshold_uncertainty_score":0.5635914,"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."}}