{"id":"W6924923795","doi":"10.15468/dl.zvcmx6","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":[0.001068074,0.001964433,0.001621158,0.004964605,0.00100995,0.002623228,0.002895895,0.002179517,0.1638767],"category_scores_gemma":[0.006297963,0.0009252618,0.001270143,0.009532475,0.0004629064,0.002443606,0.002598212,0.002089356,0.2310905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599535,"about_ca_system_score_gemma":0.002370812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.021897,"about_ca_topic_score_gemma":0.03619768,"domain_scores_codex":[0.9988778,0.0001601389,0.0001435383,0.000391528,0.0002459894,0.0001810385],"domain_scores_gemma":[0.9972346,0.0007951393,0.0002448808,0.0007397948,0.0006784325,0.0003070647],"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":[0.00002756036,0.00001138669,0.0003368683,0.0004934155,0.00001426868,0.00001335973,0.00002106633,0.0001142778,0.0001015811,0.0003478211,0.9972127,0.001305786],"study_design_scores_gemma":[0.00007369921,0.000008633991,0.00182885,0.0001937339,0.00001461122,0.00003600881,0.00007251483,0.0001460148,0.0001823162,0.0008317499,0.9965934,0.00001842436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003745639,0.00002510445,0.000042644,0.00003686629,0.00001219485,0.000005290009,0.9988983,0.0003469505,0.0005952637],"genre_scores_gemma":[0.0001480665,0.00003217452,0.0001899946,0.00004671518,0.000003495575,0.00004134676,0.9989401,0.0001393949,0.0004588719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8361233,"threshold_uncertainty_score":0.5482221,"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."}}