{"id":"W6924649764","doi":"10.15468/dl.prskhe","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Reference data; Task (project management)","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":[0.0009845669,0.002018417,0.001657817,0.004974088,0.0009695385,0.002698955,0.003070727,0.002135125,0.1510248],"category_scores_gemma":[0.00625433,0.00086113,0.001192825,0.009734633,0.0004294047,0.002410954,0.002540783,0.002134816,0.2061299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660199,"about_ca_system_score_gemma":0.002330882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02144104,"about_ca_topic_score_gemma":0.03453852,"domain_scores_codex":[0.9989439,0.0001458047,0.0001346116,0.0003659714,0.0002380397,0.0001717053],"domain_scores_gemma":[0.9976251,0.0006684563,0.0002239725,0.000581192,0.0006187867,0.0002826071],"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":[0.00002951532,0.00001129724,0.0003462766,0.000514987,0.00001489594,0.00001420035,0.00001984365,0.000111738,0.00008233489,0.0003559789,0.9972942,0.001204617],"study_design_scores_gemma":[0.00009104481,0.000007860939,0.001709396,0.0001847679,0.00001444076,0.00003410171,0.00006626551,0.0001821184,0.0001615775,0.0008201856,0.996712,0.00001612333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004107733,0.00003003901,0.00004240693,0.00003962053,0.00001138102,0.000005574512,0.9988531,0.0003871553,0.00058968],"genre_scores_gemma":[0.0001596136,0.00003471466,0.0001675754,0.00004483047,0.000003734649,0.00004176201,0.998991,0.0001375173,0.0004193514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8489752,"threshold_uncertainty_score":0.5052283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021011892883581,"score_gpt":0.200164843309001,"score_spread":0.1899547243801652,"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."}}