{"id":"W6943411180","doi":"10.15468/dl.zb8qyn","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":"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":[0.001032102,0.002057037,0.001693852,0.005166552,0.00104205,0.002652151,0.002965972,0.002191575,0.1641312],"category_scores_gemma":[0.006402823,0.0009395758,0.001220945,0.009971592,0.0004687133,0.002465049,0.002632932,0.002075837,0.2217544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153777,"about_ca_system_score_gemma":0.002356994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064371,"about_ca_topic_score_gemma":0.03513161,"domain_scores_codex":[0.9989017,0.0001574006,0.0001412608,0.000388261,0.0002340981,0.0001772223],"domain_scores_gemma":[0.997343,0.0007783802,0.0002411413,0.0006996155,0.0006361026,0.0003017692],"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":[0.00003097728,0.00001189994,0.0003594289,0.0005799138,0.00001535062,0.00001568975,0.00002348102,0.0001218908,0.0001141305,0.0003694691,0.9970109,0.001346799],"study_design_scores_gemma":[0.00007929203,0.000008639878,0.001762456,0.0001983353,0.00001488725,0.00003771372,0.00007208572,0.0001428944,0.0001813518,0.0007962633,0.9966871,0.00001886367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004028274,0.00002828358,0.00004322272,0.00003625863,0.00001197294,0.000005385737,0.9988633,0.0003689075,0.0006024237],"genre_scores_gemma":[0.0001613028,0.00003427841,0.0001955534,0.00004725438,0.000003649546,0.00004382666,0.9989035,0.0001478739,0.0004627539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8358688,"threshold_uncertainty_score":0.5490736,"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."}}