{"id":"W6943721924","doi":"10.15468/dl.yubxy5","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); Complement (music)","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":[0.0009465498,0.001974227,0.001556434,0.004545344,0.001008541,0.002374492,0.002788462,0.002121454,0.1513345],"category_scores_gemma":[0.005479363,0.0009060256,0.001222078,0.009236603,0.0004604241,0.002153542,0.002574311,0.001965125,0.2178082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648122,"about_ca_system_score_gemma":0.002400625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02567972,"about_ca_topic_score_gemma":0.04258865,"domain_scores_codex":[0.9990515,0.0001259542,0.0001175574,0.0003253847,0.0002169153,0.0001627086],"domain_scores_gemma":[0.9978358,0.0005926559,0.000194961,0.0005826264,0.0005394706,0.0002545165],"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":[0.00002862352,0.00001146411,0.0004081916,0.0005168642,0.00001516635,0.000015894,0.00002756846,0.0001350283,0.0001331169,0.0003897665,0.9968352,0.001483094],"study_design_scores_gemma":[0.00007008203,0.000007886928,0.001890171,0.0001841537,0.00001433752,0.00003775526,0.00007957528,0.0001625591,0.0002086309,0.0007357987,0.9965912,0.00001780312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004579322,0.00002555972,0.00004876918,0.00003309251,0.00001174729,0.00000530008,0.9987739,0.0004115979,0.0006441834],"genre_scores_gemma":[0.0001586959,0.00002884589,0.0002015933,0.0000402929,0.000002951305,0.00003953154,0.9989514,0.0001486612,0.0004278921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8486655,"threshold_uncertainty_score":0.5062643,"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."}}