{"id":"W6887056472","doi":"10.15468/dl.pfmmac","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":[0.0009557807,0.001936731,0.00157892,0.005234229,0.001019481,0.002657996,0.002704712,0.002038547,0.1764282],"category_scores_gemma":[0.006309095,0.000876137,0.001245096,0.009869967,0.0004398995,0.002367651,0.002544004,0.001949669,0.2465085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641225,"about_ca_system_score_gemma":0.002417596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0250536,"about_ca_topic_score_gemma":0.03868325,"domain_scores_codex":[0.9989767,0.0001360601,0.0001251096,0.0003608472,0.0002293153,0.0001718878],"domain_scores_gemma":[0.9973585,0.0007887049,0.0002244752,0.0006591812,0.0006890915,0.0002800417],"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":[0.00002501729,0.00001006727,0.0003491648,0.0005077288,0.00001242201,0.00001379914,0.00002126144,0.0001032618,0.0001013682,0.0003179403,0.9971262,0.001411824],"study_design_scores_gemma":[0.00006007036,0.000007898792,0.001831656,0.0002110041,0.00001390951,0.00003381514,0.00007702213,0.0001374834,0.0001763105,0.0006775669,0.9967567,0.00001664728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003855708,0.00002727536,0.00004022258,0.00003751439,0.0000118235,0.000005488348,0.9988071,0.0003743899,0.0006575828],"genre_scores_gemma":[0.0001603059,0.0000371494,0.0001832817,0.00004707809,0.000003832702,0.00004475879,0.9988338,0.0001542666,0.0005355768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8235718,"threshold_uncertainty_score":0.590211,"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."}}