{"id":"W6924331633","doi":"10.15468/dl.bd7yyc","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); 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":[0.0009211295,0.001871931,0.001531427,0.004929892,0.000961643,0.002502122,0.002719887,0.001908356,0.1578701],"category_scores_gemma":[0.005545595,0.0008686334,0.001184014,0.01033043,0.0004081813,0.002276455,0.002448821,0.001911773,0.2214236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695981,"about_ca_system_score_gemma":0.002566005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0294419,"about_ca_topic_score_gemma":0.0507916,"domain_scores_codex":[0.9989791,0.0001361414,0.0001209565,0.0003482349,0.0002391992,0.0001763103],"domain_scores_gemma":[0.9976283,0.0006117374,0.0002138126,0.0006277118,0.0006445423,0.0002738509],"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":[0.00002469555,0.000009218676,0.0003672038,0.0004345117,0.00001468359,0.00001241868,0.00002061481,0.0001274765,0.00009883599,0.0003614009,0.997186,0.001342895],"study_design_scores_gemma":[0.00005769544,0.000006635586,0.001779784,0.000164765,0.0000136236,0.00002920206,0.00006586676,0.0001425614,0.0001745518,0.0007870535,0.9967625,0.0000158924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003650509,0.00002465633,0.00004056707,0.00003075324,0.00001042892,0.00000429045,0.9988912,0.0003317364,0.0006299473],"genre_scores_gemma":[0.0001460046,0.00003185346,0.000175185,0.00003894695,0.000003190945,0.00003363773,0.9989267,0.0001342038,0.0005102986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8421299,"threshold_uncertainty_score":0.5281281,"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."}}