{"id":"W6886974680","doi":"10.15468/dl.ljxl9e","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.000896071,0.002183222,0.001652014,0.005301261,0.0009106051,0.002642236,0.002985243,0.001884334,0.141304],"category_scores_gemma":[0.005998413,0.0009308725,0.001224552,0.01101255,0.0004277299,0.002397781,0.00271194,0.001919853,0.2100598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654816,"about_ca_system_score_gemma":0.002522699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02371743,"about_ca_topic_score_gemma":0.03966133,"domain_scores_codex":[0.9988717,0.0001464167,0.0001510389,0.0003900471,0.0002563327,0.0001844704],"domain_scores_gemma":[0.9976025,0.0006065925,0.0002655404,0.0006283485,0.0006063553,0.0002906157],"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":[0.00002999721,0.00000979868,0.0003939091,0.0005024957,0.00001551703,0.00001423553,0.00002077818,0.0001247185,0.00009966194,0.0004106567,0.99696,0.001418179],"study_design_scores_gemma":[0.00006564322,0.000007718631,0.00171891,0.0001772007,0.00001435888,0.00003754601,0.00005448303,0.0001391597,0.0001777803,0.0007759511,0.9968141,0.00001736858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004239866,0.00003216008,0.00004130026,0.00003269529,0.00001154663,0.000004268516,0.9988316,0.0003623753,0.0006417038],"genre_scores_gemma":[0.0001422895,0.000038096,0.000159949,0.0000389257,0.000003231644,0.00003127932,0.9989702,0.0001279125,0.000488088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.858696,"threshold_uncertainty_score":0.472709,"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."}}