{"id":"W6887220558","doi":"10.15468/dl.x523a2","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","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":[0.001015315,0.001996991,0.001602159,0.00491507,0.00104091,0.002622883,0.002844469,0.00219526,0.1526456],"category_scores_gemma":[0.005952412,0.0009044281,0.001302865,0.00922065,0.000457571,0.002399659,0.002627325,0.002132589,0.2244216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626889,"about_ca_system_score_gemma":0.002365583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212132,"about_ca_topic_score_gemma":0.03504552,"domain_scores_codex":[0.9989133,0.0001512198,0.0001328564,0.0003865747,0.0002365064,0.0001795691],"domain_scores_gemma":[0.9974269,0.000735818,0.0002255182,0.0007089667,0.0006124786,0.0002901923],"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":[0.00002926008,0.00001229307,0.0003647353,0.0005139096,0.0000144107,0.00001448364,0.00002279251,0.0001185167,0.0001145595,0.0003709708,0.9970707,0.001353275],"study_design_scores_gemma":[0.00007578262,0.000009705143,0.001956444,0.0002054513,0.00001490233,0.00003907709,0.00007739316,0.0001558588,0.0001901381,0.000788956,0.9964679,0.00001828817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004450034,0.00002918295,0.00004273386,0.0000409409,0.00001335537,0.000005654057,0.9988441,0.000376333,0.0006031604],"genre_scores_gemma":[0.0001509892,0.00003420067,0.0001853434,0.00004802867,0.000003561138,0.00004194792,0.9989333,0.0001349487,0.0004677297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8473544,"threshold_uncertainty_score":0.5106505,"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."}}