{"id":"W6943566364","doi":"10.15468/dl.ndulf0","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":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.001038786,0.002033141,0.001630916,0.005214745,0.0009615527,0.002743414,0.003046124,0.002080938,0.1436742],"category_scores_gemma":[0.006052305,0.0008976297,0.001193129,0.01044802,0.0004452634,0.00236273,0.002604648,0.002106414,0.2043999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703301,"about_ca_system_score_gemma":0.002532264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02363258,"about_ca_topic_score_gemma":0.03701271,"domain_scores_codex":[0.9989718,0.0001377173,0.0001302522,0.0003491385,0.0002360946,0.0001748623],"domain_scores_gemma":[0.9976531,0.0006546153,0.0002301675,0.0006067155,0.0005816323,0.0002738316],"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":[0.000027093,0.00001136413,0.0003918235,0.0004996266,0.00001611597,0.00001512159,0.00002419571,0.0001316931,0.0001050234,0.0004244427,0.9969941,0.001359336],"study_design_scores_gemma":[0.00007109666,0.000007245104,0.001813007,0.0001856055,0.00001492729,0.00003655309,0.00007351793,0.0001654447,0.0001870746,0.0007983064,0.9966293,0.00001782152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004403625,0.0000290116,0.00004939309,0.00003610197,0.00001173792,0.000005087774,0.9987983,0.0004085318,0.0006177724],"genre_scores_gemma":[0.0001546605,0.00003228697,0.0001767149,0.00003623415,0.000002923411,0.00003643072,0.9990281,0.0001478085,0.0003849275],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8563259,"threshold_uncertainty_score":0.4806379,"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."}}