{"id":"W6943471682","doi":"10.15468/dl.p82esy","title":"Occurrence Download","year":2016,"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":[0.001106942,0.002126474,0.001710399,0.005575223,0.0009767937,0.002790113,0.003037726,0.002050766,0.1543821],"category_scores_gemma":[0.006354854,0.0009612944,0.001291534,0.01096832,0.0004511016,0.002588808,0.002932568,0.002153309,0.2368851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718432,"about_ca_system_score_gemma":0.002633609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02212577,"about_ca_topic_score_gemma":0.03765618,"domain_scores_codex":[0.9987627,0.0001647828,0.0001647217,0.0004127275,0.0002858501,0.0002092074],"domain_scores_gemma":[0.9972305,0.0006646845,0.0002767605,0.0007600233,0.0007273086,0.0003407341],"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":[0.00003016305,0.00001028686,0.0003415369,0.0005321067,0.0000156052,0.00001315994,0.00002071989,0.00009907689,0.0001099282,0.0003664618,0.9971324,0.00132859],"study_design_scores_gemma":[0.00006746556,0.000007387518,0.001642397,0.0001880515,0.00001413784,0.00003395246,0.00005558517,0.000111913,0.0001789166,0.0007037565,0.9969805,0.00001595748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003568395,0.00002916967,0.00003990498,0.00003356211,0.00001105562,0.000005428456,0.9988428,0.0003585988,0.0006437107],"genre_scores_gemma":[0.0001252723,0.00003518792,0.0001600261,0.00004382478,0.000003299434,0.00003438607,0.9990428,0.0001296963,0.0004254421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8456179,"threshold_uncertainty_score":0.5164595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}