{"id":"W6943177299","doi":"10.15468/dl.kkt1z5","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); Order (exchange); 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":[0.0009838692,0.002013724,0.001676476,0.005339912,0.0009096945,0.00263454,0.002943195,0.00195136,0.1369201],"category_scores_gemma":[0.005945188,0.0008920706,0.001192693,0.01100433,0.0004195419,0.002353108,0.002646155,0.002000608,0.204135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578332,"about_ca_system_score_gemma":0.002422656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02269255,"about_ca_topic_score_gemma":0.03863595,"domain_scores_codex":[0.9989114,0.0001418372,0.000143426,0.0003754763,0.0002551033,0.0001728883],"domain_scores_gemma":[0.9975319,0.0006421735,0.000258145,0.0006689521,0.0005924785,0.0003063558],"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":[0.00002804706,0.00001092706,0.0004135839,0.0005125895,0.00001667493,0.00001518673,0.00002429582,0.0001291296,0.0001084529,0.0003963212,0.9969479,0.001396898],"study_design_scores_gemma":[0.00006491176,0.000007329163,0.00199336,0.0001856295,0.00001508088,0.00003916549,0.00006864378,0.0001489564,0.0001843461,0.0007466138,0.9965292,0.0000168283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004430647,0.00002968625,0.0000444268,0.00003386979,0.00001131843,0.000004506296,0.9988657,0.0003607975,0.00060533],"genre_scores_gemma":[0.0001444545,0.00003371069,0.0001649741,0.00003514006,0.000002949739,0.00003248173,0.9990368,0.0001228777,0.0004266794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8630799,"threshold_uncertainty_score":0.4580433,"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."}}