{"id":"W6924911127","doi":"10.15468/dl.z2ll7t","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); Balaenoptera; 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":[0.001011453,0.002016566,0.001724686,0.005919565,0.001040247,0.002724638,0.00291694,0.001949296,0.1746044],"category_scores_gemma":[0.006576531,0.0009323233,0.001171132,0.01175099,0.0004445501,0.002468515,0.002750123,0.001953727,0.2339226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860718,"about_ca_system_score_gemma":0.002888463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03199483,"about_ca_topic_score_gemma":0.05310358,"domain_scores_codex":[0.9988548,0.0001413068,0.0001481568,0.0003966793,0.0002625362,0.0001966255],"domain_scores_gemma":[0.9971757,0.0007512185,0.0002574528,0.0007034779,0.0007716242,0.0003405158],"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":[0.00002823012,0.00000905669,0.0003424689,0.0005154153,0.00001505071,0.00001364137,0.00002207706,0.0001054824,0.0001001434,0.000365923,0.9971207,0.001361787],"study_design_scores_gemma":[0.00006181876,0.000006702321,0.001740767,0.0001872901,0.00001413045,0.00003208161,0.00006714095,0.0001199831,0.0001729198,0.0007193912,0.9968604,0.00001738965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003082523,0.0000242696,0.0000375725,0.00002838705,0.000009673225,0.000004365061,0.9989472,0.0003467083,0.0005710014],"genre_scores_gemma":[0.0001374063,0.0000330841,0.000170959,0.00003787168,0.000003111586,0.00003513026,0.9989802,0.0001535867,0.0004484446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8253956,"threshold_uncertainty_score":0.5841098,"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."}}