{"id":"W6924302711","doi":"10.15468/dl.n5sh7y","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); Data set; Set (abstract data type)","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":[0.0009462409,0.001879065,0.001551086,0.005191478,0.0009349225,0.002458288,0.002718019,0.001917338,0.1556452],"category_scores_gemma":[0.005441695,0.0008971103,0.001167895,0.01036116,0.0004592709,0.002087998,0.002677941,0.001860148,0.2055091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579929,"about_ca_system_score_gemma":0.002423318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267677,"about_ca_topic_score_gemma":0.03808238,"domain_scores_codex":[0.9990062,0.0001246208,0.0001371925,0.0003338208,0.0002227359,0.0001754647],"domain_scores_gemma":[0.9976997,0.0005976517,0.0002303898,0.0006115705,0.0005750101,0.0002856262],"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":[0.00003636251,0.00001243778,0.0004469044,0.0007133309,0.00001922263,0.00001820165,0.00002898249,0.0001368757,0.0001716225,0.0004466411,0.9963478,0.0016215],"study_design_scores_gemma":[0.00007411198,0.000008029331,0.002056236,0.0002017612,0.00001582471,0.00003911794,0.00007117553,0.0001209315,0.0002106586,0.0007053457,0.9964797,0.00001717402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004431577,0.00002720503,0.00003946766,0.00002887962,0.00001022203,0.000005078684,0.9989125,0.0003275457,0.0006048995],"genre_scores_gemma":[0.000160085,0.00003372905,0.0001756912,0.00003995527,0.00000294372,0.00003678627,0.9990397,0.0001277851,0.0003832077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8443547,"threshold_uncertainty_score":0.5206852,"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."}}