{"id":"W6905911288","doi":"10.15468/dl.krewuy","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ornithology; Download; Matching (statistics); Point (geometry); Range (aeronautics)","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":[0.001016439,0.002214985,0.001779876,0.006160721,0.001089032,0.003101371,0.003010057,0.002083479,0.1643576],"category_scores_gemma":[0.006886011,0.000931908,0.001581653,0.0118077,0.0004391263,0.002932734,0.002859279,0.002008653,0.261268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730381,"about_ca_system_score_gemma":0.002556218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02622251,"about_ca_topic_score_gemma":0.04438417,"domain_scores_codex":[0.9986603,0.0001695159,0.0001842122,0.0004701325,0.0002987693,0.0002170716],"domain_scores_gemma":[0.9970656,0.0007618946,0.0002450014,0.0008057501,0.0008143866,0.0003074072],"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":[0.00003001246,0.000009920912,0.000416747,0.0005336585,0.0000166502,0.00001544741,0.00002123337,0.00011956,0.00009344331,0.0003354384,0.9967806,0.001627228],"study_design_scores_gemma":[0.00006336631,0.000009457787,0.001839287,0.000190177,0.00001497994,0.00003894392,0.0000797897,0.000182844,0.0001682677,0.000692845,0.9967021,0.00001779632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004046593,0.00002986336,0.00004827676,0.00003633724,0.00001457403,0.000005611319,0.9987251,0.0004891109,0.0006107677],"genre_scores_gemma":[0.0001217302,0.0000327207,0.0001764765,0.0000366809,0.000003783057,0.00003367692,0.9990055,0.0001413799,0.0004480804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8356425,"threshold_uncertainty_score":0.5498308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}