{"id":"W6887096145","doi":"10.15468/dl.ph7viv","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":"Geodetic datum; Matching (statistics); Download; 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":[0.0009733977,0.002035639,0.001581431,0.005147051,0.001026867,0.002676612,0.003034045,0.002070625,0.1363826],"category_scores_gemma":[0.005856903,0.0008816734,0.001196486,0.009726693,0.0004331694,0.00234216,0.002629071,0.002110003,0.2140516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540593,"about_ca_system_score_gemma":0.002361602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02034281,"about_ca_topic_score_gemma":0.03304897,"domain_scores_codex":[0.9989197,0.0001413992,0.00013231,0.0003684367,0.0002528557,0.0001854132],"domain_scores_gemma":[0.9975554,0.0006285568,0.0002336377,0.0007022269,0.0005956967,0.0002844216],"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":[0.00002845341,0.00001245666,0.0003990321,0.0004059219,0.00001461649,0.00001612719,0.00002265468,0.0001260279,0.0001087695,0.0003843453,0.9971106,0.001370928],"study_design_scores_gemma":[0.00007100616,0.000008625492,0.001941819,0.0001647682,0.00001445264,0.00004218514,0.00007410611,0.0001828107,0.000208338,0.0008412391,0.996433,0.00001768786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000498984,0.00002659429,0.0000524234,0.00003903214,0.00001356115,0.000005299319,0.9987037,0.0004757524,0.0006337231],"genre_scores_gemma":[0.0001478543,0.00002682312,0.0001806885,0.00003562538,0.000003297175,0.00003329101,0.9990226,0.0001381798,0.0004117299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8636174,"threshold_uncertainty_score":0.4562454,"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."}}