{"id":"W6962240587","doi":"10.15468/dl.ksqwue","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); Arrow","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":[0.001001837,0.002076214,0.001652971,0.00505432,0.001075972,0.002540235,0.002987938,0.002200131,0.1489535],"category_scores_gemma":[0.006064425,0.0009394711,0.001262591,0.009873756,0.000467031,0.002320665,0.002704024,0.00210182,0.2193658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168751,"about_ca_system_score_gemma":0.002465693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.022902,"about_ca_topic_score_gemma":0.03631556,"domain_scores_codex":[0.9989105,0.0001393199,0.0001366442,0.0003791367,0.0002513366,0.0001828928],"domain_scores_gemma":[0.9975981,0.0006448291,0.0002250172,0.0006619359,0.0005907036,0.0002794206],"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":[0.0000310166,0.00001162108,0.0003800596,0.00051562,0.00001475592,0.00001517378,0.00002588083,0.0001254965,0.0001331004,0.0003991156,0.9968864,0.001461751],"study_design_scores_gemma":[0.00007135257,0.00000798405,0.00182878,0.0001856552,0.00001410098,0.00003795329,0.00007457886,0.0001566013,0.0002044187,0.0007529415,0.9966479,0.00001757638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004339866,0.00002653537,0.00004944386,0.00003574717,0.00001221344,0.000005514885,0.9987164,0.0004593798,0.00065151],"genre_scores_gemma":[0.0001540239,0.00002998274,0.0001994412,0.00004281522,0.000003065943,0.00003968732,0.9989504,0.0001589403,0.0004216871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8510464,"threshold_uncertainty_score":0.4982992,"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."}}