{"id":"W6924654669","doi":"10.15468/dl.my6cxe","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.000878694,0.001961299,0.001560185,0.004950264,0.0009627324,0.002552195,0.002626118,0.001889027,0.1687272],"category_scores_gemma":[0.005459306,0.0009362377,0.00111734,0.009998017,0.0004056211,0.002306165,0.002462235,0.001859578,0.2277462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509167,"about_ca_system_score_gemma":0.002269429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01996039,"about_ca_topic_score_gemma":0.03522396,"domain_scores_codex":[0.9990019,0.0001313692,0.0001278845,0.0003557568,0.0002145266,0.0001685729],"domain_scores_gemma":[0.9976828,0.0006231751,0.0002246341,0.000589038,0.0006162001,0.0002641377],"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":[0.00003188165,0.00001120292,0.0003701185,0.0005523203,0.00001429907,0.00001372809,0.00002066668,0.0001111545,0.0001277912,0.0003876923,0.9969182,0.001441],"study_design_scores_gemma":[0.00006757238,0.000008277842,0.001748343,0.000172488,0.00001369497,0.00003257161,0.00005653723,0.0001167561,0.0001863935,0.0007393418,0.9968407,0.00001729354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003932988,0.00002593549,0.00003912349,0.00002927292,0.00001072384,0.000004556869,0.998863,0.0003062332,0.0006818301],"genre_scores_gemma":[0.0001483116,0.0000341445,0.000182048,0.00004408719,0.000003425662,0.00003835216,0.9988729,0.0001373319,0.0005393355],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8312728,"threshold_uncertainty_score":0.5644488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}