{"id":"W6905841140","doi":"10.15468/dl.nl0abz","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; Confidentiality","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":[0.0009722285,0.001882335,0.001594237,0.005869973,0.0009821319,0.00265443,0.002767004,0.001903806,0.1629786],"category_scores_gemma":[0.005794687,0.0008649101,0.001193883,0.01103341,0.0004433281,0.002310586,0.002751304,0.001968954,0.2457333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570677,"about_ca_system_score_gemma":0.002527187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0215519,"about_ca_topic_score_gemma":0.03704169,"domain_scores_codex":[0.9988355,0.0001467514,0.0001559404,0.0003878621,0.0002738753,0.0001999949],"domain_scores_gemma":[0.9974734,0.0006128297,0.0002544743,0.0006682533,0.0006966278,0.0002943652],"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":[0.0000309511,0.00001025416,0.0003737938,0.0005467447,0.00001548251,0.0000146517,0.00002424265,0.0001039604,0.0001348417,0.000412373,0.9967442,0.001588497],"study_design_scores_gemma":[0.00005237455,0.000006444401,0.001656707,0.0001780102,0.00001292332,0.00003223331,0.00006221067,0.00009560677,0.0001915581,0.0006914598,0.9970046,0.0000159482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003702151,0.00002828008,0.00004021069,0.00003173298,0.00001116206,0.000004846833,0.9987643,0.0003501918,0.0007322818],"genre_scores_gemma":[0.0001487994,0.00003555661,0.0001797662,0.00004480572,0.000003485793,0.00003294551,0.9988824,0.0001466595,0.0005255683],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8370214,"threshold_uncertainty_score":0.5452177,"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."}}