{"id":"W6887058069","doi":"10.15468/dl.lnfj8t","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","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":[0.0009635203,0.001924847,0.001554881,0.005633061,0.0009396699,0.002525568,0.002761126,0.001911151,0.1626415],"category_scores_gemma":[0.005527383,0.0009237349,0.001150739,0.01034947,0.0004365738,0.002263719,0.002788955,0.001970051,0.2324862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512437,"about_ca_system_score_gemma":0.002287982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01878866,"about_ca_topic_score_gemma":0.03246834,"domain_scores_codex":[0.9989361,0.0001332544,0.0001456493,0.0003589784,0.0002425687,0.0001834649],"domain_scores_gemma":[0.9975241,0.0006202252,0.0002523513,0.0006744292,0.0006267563,0.0003021405],"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":[0.00003207029,0.00001184875,0.0003947819,0.0005872075,0.00001591164,0.00001594956,0.00002567109,0.0001131785,0.0001484529,0.0004097846,0.9967251,0.001519958],"study_design_scores_gemma":[0.0000662809,0.000007359419,0.001821706,0.0001776135,0.00001351116,0.00003585643,0.000067273,0.0001100897,0.0002016218,0.000695166,0.9967866,0.00001700185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000397246,0.00002384812,0.00004014119,0.00002900759,0.00001080459,0.00000507507,0.9988862,0.0003522256,0.0006130387],"genre_scores_gemma":[0.0001480736,0.00003256182,0.0001900826,0.00003992305,0.000003235799,0.00003702441,0.9989674,0.0001453699,0.0004363224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8373585,"threshold_uncertainty_score":0.54409,"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."}}