{"id":"W6943464512","doi":"10.15468/dl.ovh01r","title":"Occurrence Download","year":2019,"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); 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":[0.0009020817,0.001890149,0.001552389,0.005450632,0.001047003,0.002666439,0.002752516,0.001830303,0.1550725],"category_scores_gemma":[0.005533871,0.0008831936,0.001130954,0.01168114,0.0004375214,0.002384107,0.002677129,0.002015896,0.2103229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868935,"about_ca_system_score_gemma":0.002951821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03769339,"about_ca_topic_score_gemma":0.06377462,"domain_scores_codex":[0.9989578,0.0001240873,0.0001351241,0.0003580111,0.0002426695,0.0001823166],"domain_scores_gemma":[0.9975346,0.0006260293,0.000239624,0.0006362214,0.0006669363,0.0002966545],"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":[0.0000264766,0.000009576559,0.000374995,0.0004802129,0.00001418237,0.0000145372,0.0000258149,0.0001132515,0.0001068322,0.0004456921,0.9970311,0.001357393],"study_design_scores_gemma":[0.0000516628,0.000005362102,0.001682269,0.0001648056,0.00001220591,0.00003099512,0.00007223729,0.0001150544,0.0001662219,0.0007213716,0.9969613,0.00001649038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003418698,0.00002233079,0.00004073747,0.00003038221,0.00001036663,0.000004134462,0.9988668,0.0003406155,0.000650524],"genre_scores_gemma":[0.0001429588,0.00003195784,0.0001828812,0.00003633523,0.000002798355,0.00003131452,0.9989479,0.0001434981,0.0004803789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449275,"threshold_uncertainty_score":0.518769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}