{"id":"W6943166334","doi":"10.15468/dl.q7rv9h","title":"Occurrence Download","year":2021,"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":[0.001070411,0.001968427,0.001756303,0.005418025,0.000935623,0.002577786,0.002863883,0.002121055,0.1604666],"category_scores_gemma":[0.006410988,0.0009355458,0.001202892,0.01099343,0.0004515151,0.002211611,0.002416893,0.001996486,0.2081562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616798,"about_ca_system_score_gemma":0.002327728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085097,"about_ca_topic_score_gemma":0.03292256,"domain_scores_codex":[0.9988695,0.0001544646,0.0001562986,0.0003819088,0.0002540782,0.0001837151],"domain_scores_gemma":[0.9971787,0.0008287669,0.0002746691,0.00072133,0.0006815179,0.0003149689],"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":[0.00003211077,0.00001195782,0.0004112311,0.0005949652,0.00001745404,0.00001505409,0.00002172245,0.0001452984,0.000117273,0.0003686004,0.996858,0.001406231],"study_design_scores_gemma":[0.00009000076,0.000009428837,0.002266772,0.000216719,0.00001747357,0.00003885853,0.00007236697,0.0001666794,0.0001937919,0.0007582717,0.9961504,0.00001930889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003506565,0.00002290316,0.00003158957,0.0000290608,0.000008901177,0.000004435366,0.9991696,0.0002517187,0.0004467492],"genre_scores_gemma":[0.0001456525,0.00002987514,0.000154806,0.00003687149,0.000003136591,0.00003836556,0.9991162,0.0001027614,0.0003722561],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8395334,"threshold_uncertainty_score":0.5368142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}