{"id":"W6887038259","doi":"10.15468/dl.mrthj8","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); The Internet","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":[0.001007627,0.002115783,0.00159643,0.00520251,0.0008846704,0.002584845,0.002885918,0.002075563,0.1352701],"category_scores_gemma":[0.005806258,0.0008686139,0.001197126,0.009717672,0.0004332801,0.002219373,0.002659388,0.002016247,0.212346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579024,"about_ca_system_score_gemma":0.002362333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02106635,"about_ca_topic_score_gemma":0.03632166,"domain_scores_codex":[0.9989246,0.0001483063,0.0001386327,0.000358443,0.0002467714,0.0001833304],"domain_scores_gemma":[0.9975826,0.0005926834,0.0002515496,0.00067331,0.0005884117,0.0003114383],"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":[0.00003062652,0.00001189002,0.0004047849,0.0005067422,0.0000163571,0.00001369812,0.00002000318,0.0001241212,0.0001052439,0.0003423122,0.9970576,0.001366693],"study_design_scores_gemma":[0.00008357345,0.000009168692,0.002075028,0.0001969317,0.00001561725,0.00003990766,0.0000620977,0.0001660746,0.0001926389,0.0007510738,0.9963905,0.00001722783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004482547,0.00003017829,0.00003747002,0.00003355695,0.00001115398,0.000005189831,0.9989273,0.0003453332,0.0005648874],"genre_scores_gemma":[0.0001396445,0.00003076361,0.0001476095,0.00003691104,0.000003194005,0.00003205716,0.9991222,0.0001012281,0.0003865114],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8647299,"threshold_uncertainty_score":0.4525236,"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."}}