{"id":"W6961951510","doi":"10.15468/dl.zu7x5v","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); 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":[0.001129051,0.002001437,0.001656729,0.005280815,0.001014038,0.002678986,0.002906879,0.002087614,0.1604931],"category_scores_gemma":[0.006513974,0.0009805379,0.001182294,0.01048372,0.0004655491,0.002301745,0.002665456,0.002073114,0.2189699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657847,"about_ca_system_score_gemma":0.002508668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02242761,"about_ca_topic_score_gemma":0.0358465,"domain_scores_codex":[0.9988573,0.0001544063,0.0001559646,0.0003893799,0.0002569693,0.000186051],"domain_scores_gemma":[0.9972219,0.0007876834,0.0002691087,0.0007258655,0.0006818532,0.000313532],"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":[0.00002965143,0.0000112431,0.0003736502,0.0005812951,0.00001642765,0.00001526224,0.00002499646,0.0001240627,0.0001189595,0.0003984969,0.9969848,0.001321125],"study_design_scores_gemma":[0.00007557628,0.000007827331,0.001841074,0.0002018838,0.00001516642,0.00003656028,0.00007280094,0.0001352985,0.0001830446,0.0007270312,0.9966857,0.00001806182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000346182,0.00002335135,0.00004035783,0.00003180818,0.00001070459,0.000004672266,0.9989938,0.0003149653,0.0005457186],"genre_scores_gemma":[0.0001409695,0.00003153579,0.0001805145,0.00003986859,0.000003056634,0.00003955666,0.9990135,0.0001400425,0.0004108058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8395069,"threshold_uncertainty_score":0.5369028,"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."}}