{"id":"W6906090447","doi":"10.15468/dl.xdkp3g","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":[0.001059782,0.002015026,0.001601083,0.004910151,0.001043603,0.00263303,0.0028936,0.002227299,0.158331],"category_scores_gemma":[0.006079095,0.0009270064,0.001268851,0.00949688,0.0004685321,0.002466049,0.002551295,0.002096608,0.224397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163895,"about_ca_system_score_gemma":0.002433015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283017,"about_ca_topic_score_gemma":0.03751669,"domain_scores_codex":[0.9988638,0.000163698,0.000143447,0.0003996979,0.0002473275,0.0001819881],"domain_scores_gemma":[0.9972538,0.0008026351,0.0002386959,0.0007400532,0.0006662998,0.0002984163],"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":[0.00002918079,0.0000120272,0.0003397072,0.0004884397,0.00001399923,0.00001470718,0.00002156634,0.0001182437,0.0001066397,0.0003616059,0.9972215,0.001272442],"study_design_scores_gemma":[0.00007698492,0.000008600521,0.001835746,0.0001826268,0.00001427168,0.00003681851,0.00007267082,0.0001537646,0.0001913913,0.0008553995,0.9965528,0.00001889451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003890599,0.00002410969,0.00004357755,0.00003625815,0.00001158954,0.000005369111,0.9988872,0.0003543756,0.0005985771],"genre_scores_gemma":[0.0001514313,0.00003032768,0.0001865435,0.00004457316,0.00000339843,0.00004180031,0.9989654,0.0001374215,0.0004391433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.841669,"threshold_uncertainty_score":0.5296701,"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."}}