{"id":"W6905977383","doi":"10.15468/dl.t3rnqx","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":[0.0008417579,0.00208464,0.001579897,0.005185269,0.0008533929,0.002520466,0.002798855,0.001764366,0.1410103],"category_scores_gemma":[0.005435809,0.0008785555,0.001171888,0.01061856,0.0003909192,0.002277761,0.002565506,0.001795614,0.2122127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548982,"about_ca_system_score_gemma":0.002457964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02384366,"about_ca_topic_score_gemma":0.04087599,"domain_scores_codex":[0.9989778,0.0001290381,0.0001367223,0.0003540443,0.0002286333,0.0001737453],"domain_scores_gemma":[0.9977621,0.0005496419,0.0002487317,0.0005800038,0.000588246,0.0002712001],"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":[0.00003035799,0.000009786319,0.0004289648,0.000489927,0.00001528228,0.00001383211,0.00002067025,0.0001180813,0.0001047873,0.0004001014,0.9969195,0.001448578],"study_design_scores_gemma":[0.00006170652,0.000007636756,0.00186457,0.0001766233,0.00001427324,0.00003553449,0.00005474376,0.0001332731,0.0001830298,0.0007538283,0.996698,0.00001679988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004142395,0.00002857289,0.00003896853,0.00002883684,0.00001058956,0.000004061636,0.9988721,0.0003391523,0.0006364019],"genre_scores_gemma":[0.0001407394,0.00003537682,0.0001548164,0.00003670305,0.000003096848,0.00002981914,0.9989789,0.0001226803,0.0004979545],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8589897,"threshold_uncertainty_score":0.4717264,"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."}}