{"id":"W6961803418","doi":"10.15468/dl.ug6rmf","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":"Matching (statistics); Download; Alien; 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":[0.000972391,0.001998057,0.001632176,0.00514267,0.00102031,0.002605111,0.002799689,0.002076658,0.1694444],"category_scores_gemma":[0.006055157,0.0009663371,0.001275198,0.01032311,0.0004518922,0.00238072,0.002608801,0.001968107,0.2349613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604599,"about_ca_system_score_gemma":0.002426127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02114108,"about_ca_topic_score_gemma":0.03351849,"domain_scores_codex":[0.9988924,0.0001496535,0.0001479442,0.0003965063,0.0002258056,0.0001878635],"domain_scores_gemma":[0.997537,0.0006891224,0.0002276394,0.0006401406,0.0006395924,0.0002664419],"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":[0.00003473859,0.00001150381,0.0003501951,0.0006175039,0.00001506217,0.00001452151,0.00002212837,0.0001143156,0.0001376899,0.0003827484,0.9968586,0.001441024],"study_design_scores_gemma":[0.00007428996,0.000009411004,0.001757843,0.0002026081,0.00001514684,0.00003416786,0.00006414923,0.0001226615,0.0001927918,0.0007551004,0.9967536,0.00001822779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003905057,0.00002703724,0.00003780214,0.00003123137,0.00001104953,0.000005041925,0.9989057,0.0003282984,0.0006147875],"genre_scores_gemma":[0.000146922,0.00003722508,0.0001855567,0.00004666115,0.000003338186,0.00004321555,0.9989016,0.0001472273,0.0004882163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8305556,"threshold_uncertainty_score":0.5668482,"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."}}