{"id":"W6924470947","doi":"10.15468/dl.ntzsbg","title":"Occurrence Download","year":2024,"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); Set (abstract data type); Data set","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":[0.001039631,0.00184871,0.001642236,0.005293492,0.0009455907,0.002465181,0.002742853,0.002029038,0.1569352],"category_scores_gemma":[0.006562788,0.0008881328,0.00119567,0.01029617,0.0004482609,0.002139273,0.002438538,0.001895153,0.2033012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490684,"about_ca_system_score_gemma":0.002275034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975999,"about_ca_topic_score_gemma":0.0321689,"domain_scores_codex":[0.9989203,0.0001522884,0.0001479694,0.0003661359,0.0002372536,0.0001760117],"domain_scores_gemma":[0.9973221,0.0007933313,0.0002567665,0.0006726722,0.0006618074,0.0002932019],"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":[0.00003300044,0.00001193653,0.000432048,0.0006447984,0.00001823363,0.00001595642,0.0000232269,0.0001398455,0.000128442,0.00038294,0.9966612,0.001508569],"study_design_scores_gemma":[0.00008641318,0.00000959836,0.002116353,0.0002241009,0.00001739695,0.0000388847,0.00007148924,0.0001480479,0.0001860807,0.0007730555,0.9963101,0.00001848945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004122218,0.000028601,0.00003732733,0.00003285143,0.00001072812,0.000004946093,0.9990419,0.0002866948,0.0005157535],"genre_scores_gemma":[0.0001655825,0.00003494538,0.0001765892,0.00004221534,0.000003610351,0.00004193842,0.99901,0.0001160359,0.0004090734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8430648,"threshold_uncertainty_score":0.5250006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}