{"id":"W6943317726","doi":"10.15468/dl.ks97jx","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; Order (exchange)","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":[0.0009672306,0.001951363,0.001582918,0.004822645,0.0009705496,0.002436751,0.002800538,0.002143926,0.1492311],"category_scores_gemma":[0.005865291,0.0009086117,0.001214549,0.009580221,0.0004469224,0.00220052,0.002528479,0.001978163,0.213864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604088,"about_ca_system_score_gemma":0.002323723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0219768,"about_ca_topic_score_gemma":0.03530902,"domain_scores_codex":[0.9989945,0.0001312728,0.0001293102,0.0003488963,0.0002287478,0.000167257],"domain_scores_gemma":[0.9976835,0.000636304,0.0002246464,0.0006142872,0.0005741805,0.0002669919],"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":[0.0000301107,0.00001160062,0.0004044704,0.0005442856,0.00001566493,0.00001495001,0.00002539611,0.0001372,0.0001308222,0.000387516,0.9968114,0.001486501],"study_design_scores_gemma":[0.00007473749,0.00000832455,0.001951156,0.0001953458,0.00001523234,0.00003748962,0.00007219226,0.000166482,0.0002011165,0.0007510227,0.996509,0.00001782394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004151064,0.00002621536,0.00004392274,0.00003324406,0.00001169279,0.000005045566,0.9988695,0.0003824072,0.0005864424],"genre_scores_gemma":[0.0001565854,0.00003089089,0.0001954057,0.00004191036,0.000003128697,0.00003880912,0.9989749,0.0001446421,0.0004137323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8507689,"threshold_uncertainty_score":0.4992278,"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."}}