{"id":"W6943126451","doi":"10.15468/dl.mkfm9a","title":"Occurrence Download","year":2018,"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":[0.001009967,0.001975673,0.001637282,0.005793909,0.0009749806,0.002727701,0.00289953,0.002017947,0.1469895],"category_scores_gemma":[0.006259676,0.0008756863,0.001210002,0.01111139,0.0004447756,0.002379418,0.002814806,0.002068969,0.2197372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553234,"about_ca_system_score_gemma":0.002494455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01952808,"about_ca_topic_score_gemma":0.03371689,"domain_scores_codex":[0.9988287,0.0001530914,0.0001504154,0.0003970518,0.0002717128,0.0001990701],"domain_scores_gemma":[0.997401,0.0006553549,0.0002608908,0.0006876994,0.000672211,0.0003228751],"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":[0.00003116862,0.00001100192,0.0003901393,0.0005639704,0.00001685658,0.00001437957,0.00002268417,0.0001085719,0.000116045,0.0003771813,0.9969243,0.001423532],"study_design_scores_gemma":[0.00006878278,0.000007937908,0.001889949,0.0001991188,0.00001546349,0.00003617494,0.00006405368,0.0001267998,0.0001765748,0.0007333556,0.9966653,0.00001658384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004083184,0.00003138979,0.00003843493,0.00003395729,0.00001129445,0.000005034326,0.998887,0.00033938,0.0006126578],"genre_scores_gemma":[0.0001392294,0.00003628447,0.0001605179,0.00004208787,0.000003538107,0.00003396533,0.999052,0.0001207174,0.000411572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8530105,"threshold_uncertainty_score":0.4917289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}